Abstract: A method for determining similarity of adjacent rows in a picture, the method includes obtaining feature value of corresponding sub-pixel of each row of picture data in a frame of picture data; subtracting feature values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from subtracting; and determining similarity of the two adjacent rows of picture data in the frame of picture data according to the summed value. The present application further provides a display device, the display device includes an apparatus for determining two adjacent rows in a picture, the apparatus includes processor and memory for implementing steps of the above methods.

Abstract: Disclosed are a method and a device for marking an image position of a sub-pixel of a display screen, and a storage medium. The method includes: obtaining an original image of the sub-pixel of the display screen that has been taken, marking all the sub-pixel bright points in the original image of the sub-pixel to obtain a sub-pixel mark map; searching for points to be filled among adjacent points of the bright point of each sub-pixel in the sub-pixel mark map according to the first direction pixel pitch and the second direction pixel pitch in the original image of the sub-pixel, filling the points to be filled to obtain a filling mark map; and obtaining the target sub-pixel mark map based on the sub-pixel mark map and the filling mark map.

Abstract: A method of classifying a media includes receiving a media file and extracting therefrom first and second data streams including first and second media content, respectively, the media content being associated with the media item. First and second feature vectors describing the first and second media content, respectively, are generated. At least a first single feature vector representing the first sequence of first feature vectors and the second sequence of second feature vectors is generated, or at least a first single feature vector representing at least the first sequence of first feature vectors is generated. A second feature vector representing at least the second sequence of second feature vectors is generated. A probability vector from the first single feature vector, or from the first and second single feature vectors is generated. A user profile suitability class is assigned to the media item based on the probability vector.

Abstract: Provided herein are systems and methods for extracting text from a document. Different optical character recognition (OCR) tools are used to extract different versions of the text in the document. Metrics evaluating the quality of the extracted text are compared to identify and select higher quality extracted text. A selected portion of text is compared to a threshold to ensure minimal quality. The selected portion of text is then saved. Error correction can be applied to the selected portion of text based on errors specific to the OCR tools or the document contents.

Abstract: A dishwasher (1), in particular a commercial dishwasher (1), which is in the form of a box-type dishwasher and has a treatment chamber (2) which can be closed and in which washware can be treated in accordance with a predefined or predefinable treatment program, wherein a washware detector apparatus (51) is designed to detect the type of washware to be, wherein the washware detector apparatus (51) has an optical identification system, which is oriented toward the washware to be treated, and an evaluation device, wherein the optical identification system is designed to record at least a portion of the light reflected by the washware to be treated as a reflection image, and wherein the evaluation device is designed to automatically distinguish between different types of washware on the basis of the recorded reflection image, wherein the extent of the reflection provides information about the type of washware.

Abstract: Disclosed are an image matching method and apparatus. The image matching method is inclusive of steps of obtaining a panoramic image of at least one subspace in a 3D space and a 2D image of the 3D space; acquiring a 2D image of the at least one subspace in the 3D space; performing 3D reconstruction on the panoramic image of the at least one subspace, and procuring a projection image corresponding to the panoramic image of the at least one subspace; and attaining a matching relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace, and establishing an association relationship between the panoramic image of the at least one subspace and the 2D image of the at least one subspace between which the matching relationship has been generated.

Abstract: An apparatus for estimating a camera pose according to an embodiment of the present disclosure includes a similar image searcher, a clusterer, and an estimator. The similar image searcher searches for a plurality of images similar to an input image, from among a plurality of previously-stored images, based on the input image. The clusterer creates a cluster including at least some similar images meeting predetermined conditions, from among the plurality of similar images, based on viewpoint data tagged to each of the plurality of similar images. The estimator estimates a pose of a camera that has generated the input image, based on the cluster.

Abstract: Multimodal techniques are described for classifying start pages and document types of an unstructured document image package. To that end, some implementations of the disclosure relate to a method, including: obtaining a document image file including multiple pages and multiple document types; generating, for each page of the multiple pages, using multiple independent trained models, multiple independent predictions, each of the multiple independent predictions indicating: whether or not the page is a first page of a document, or a document type of the multiple document types that the page corresponds to; and generating, for each page of the multiple pages, based on the multiple independent predictions, using a neural network, a final prediction output indicating whether or not the page is the first page of a document, or one of the multiple document types that the page corresponds to.

Abstract: An inspection device includes: an electromagnetic wave irradiator that irradiates, with a predetermined electromagnetic wave from a first film side, the package that is conveyed along a predetermined direction and that has the spaces at a plurality of positions in a width direction; an imaging device that is disposed opposed to the electromagnetic wave irradiator across the package, includes an electromagnetic wave detector including a plurality of detection elements that is arrayed along the width direction and that detects the electromagnetic wave radiated from the electromagnetic wave irradiator and transmitted through the package, and sequentially outputs an obtained electromagnetic wave transmission image every time the package is conveyed by a predetermined amount; and an image processing device that processes an image signal output from the imaging device.

Abstract: In various embodiments, a match cutting application automatically generates candidate match cuts. In some embodiments, the match cutting application detects shot sequences within one or more video sequences, deduplicates the shot sequences, computes an encoding of each shot sequence after the deduplication, and compares the encodings associated with pairs of shot sequences using a distance metric to identify pairs of shot sequences that can be cut together to generate candidate match cuts. In addition, the match cutting application can apply an approximation technique, such as an approximate nearest neighbor search technique, to identify intermediate pairs of shot sequences prior to comparing encodings associated with the intermediate pairs of shot sequences.

Abstract: A multi-model medical scan analysis system is operable to generate a plurality of training sets from a plurality of medical scans. Each of a set of sub-models is generated by performing a training step on a corresponding one of the plurality of training sets of the plurality of medical scans. A set of abnormality data is generated by applying a subset of a set of inference functions on a new medical scan. The subset of the set of inference functions utilize the subset of the set of sub-models, and each of the set of abnormality data is generated as output of performing one of the subset of the set of inference functions. The multi-model medical scan analysis system is further operable to generate final abnormality data that includes a global probability indicating a probability that any abnormality is present based on the set of abnormality data.

Abstract: A collation section (14) extracts a difference between two pieces of operation setting data which are pieces of data each of which is for setting operation in a device, and generates difference information indicating the extracted difference, before a user requests. A collation result management section (15) stores in a storage device (150), the difference information generated by the collation section (14). A display section (16) acquires the difference information from the storage device (150) and outputs the acquired difference information to a display device when the user requests.

Abstract: A location of an object of interest (205) is determined using both observations and non-observations. Numerous images (341-345) are stored in a database in association with image capture information, including an image capture location (221-225). Image recognition is used to determine which of the images include the object of interest (205) and which of the images do not include the object of interest. For each of multiple candidate locations (455) within an area of the captured images, a likelihood value of the object of interest existing at the candidate location is calculated using the image capture information for images determined to include the object of interest and using the image capture information for images determined not to include the object of interest. The location of the object is determined using the likelihood values for the multiple candidate locations.

Abstract: A digital image processor includes a region proposal network configured to transform digital image inputs into region proposals and bounding box refinement logic configured to transform the region proposals by determining a first set of the region proposals exhibiting dense spacing, determining a second set of the region proposals exhibiting sparse spacing, executing a first transformation to merge at least some of the region proposals exhibiting dense spacing to generate refined region proposals, executing a second transformation to join at least some of the region proposals exhibiting sparse spacing to generate additional ones of the refined region proposals, and applying an expansion transformation to the refined region proposals.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving an image that includes a depiction of a person wearing a fashion item; generating a segmentation of the fashion item worn by the person depicted in the image; identifying a facial expression of the user depicted in the image; and in response to identifying the facial expression, applying one or more augmented reality elements to the fashion item worn by the person based on the segmentation of the fashion item worn by the person.

Abstract: A depth sensing camera system that comprises one or more fisheye lenses and infrared and/or near-infrared image sensors. In some examples, the image sensors may generate output signals based at least in part on receiving radiation via the fisheye lenses. A depth measurement may be calculated based at least in part on the output signals. For example, these output signals may be provided as input to a depth model, which may determine the depth measurement. In some examples, such a depth model may be integrated into an application-specific integrated circuit and/or may be operated by an application processor.

Abstract: A performing device of an impulse-like gesture recognition system executes an impulse-like gesture recognition method. A performing procedure of the impulse-like gesture recognition method includes steps of: receiving a sensing signal from a sensing unit; determining a prediction with at least one impulse-like label according to the sensing frames by a deep learning-based model; and classifying at least one gesture event according to the prediction. The gesture event is classified to determine the motion of the user. Since the at least one impulse-like label is used to label at least one detection score of the deep learning-based model, the detection score is non-decreasing, reaction time of the at least one gesture event for an incoming gesture is fast, rapid consecutive gestures are easily decomposed, and an expensive post-processing is not needed.

Abstract: A method is disclosed for indexing 3D digital models, retrieving them, comparing them and displaying the results in a 3D space. The method comprises four complementary parts, i.e. displaying, comparing/searching, reconciling the faces, and classifying the results. These parts can overlap with each other or can be implemented separately. A method is described for retrieving 3D models that share certain similarities of form with a reference 3D model, involving a first step of analysis in order to generate representations (descriptors). The process of searching/comparing 3D models based on descriptors partially related to the faces optionally requires a process of pairing and reconciling the faces. The results are displayed in a single 3-dimensional space and, owing to a mark on the faces of the 3D models, makes it possible to distinguish several types of difference between similar 3D models.

Abstract: Aspects of the disclosure relate to detecting sidewalks adjacent to roads. In this regard, a set of potential sidewalk areas adjacent to one or more roads in a vehicle's vicinity may be determined based on map data. Topology data for the set of potential sidewalk areas may be generated based on sensor data received from a perception system of the vehicle. The set of potential sidewalks may be filtered to remove areas unlikely to include a sidewalk. The vehicle may be operated based on the filtered set of potential sidewalk areas, which may include taking precautionary measures when within a predetermined distance from any of the filtered set of potential sidewalks.

Abstract: A region extraction device acquires a first frame image and a second frame image which are temporally successive. The device acquires, based on the acquired first frame image and second frame image, motion information indicating a region where a motion exists in the first frame image, detects, based on the acquired first frame image, positions of an elbow and a wrist of a human body from the region where the motion exists indicated by the acquired motion information, and extracts, based on the detected positions, a region corresponding to a part, of the region where the motion exists indicated by the acquired motion information, located in a human body hand's side of the wrist.

Abstract: A face search method and apparatus are provided. The method includes obtaining a to-be-searched face image, and inputting the face image into a first feature extraction model to obtain a first face feature. The method further includes inputting the face image and the first face feature into a first feature mapping model for feature mapping, to output a standard feature corresponding to the first face feature, and performing face search for the face image based on the standard feature. Features extracted by using a plurality of feature extraction models are concatenated, and a concatenated feature is used as a basis for constructing a standard feature.

Abstract: Provided are a photographing method and a terminal, relating to the field of electronic devices, and by which a user can be instructed based on a template to adjust a position or an attitude of a mobile phone, to obtain a photo or a video whose composition is the same as or similar to that of the template, thereby improving the user photographing experience. The method specifically includes: after starting a first function of a camera application, an electronic device calculates a moving direction and distance of the electronic device and/or calculates a rotation direction or a rotation angle of the electronic device based on a target template selected by a user and a currently acquired preview and through feature point matching or an AR repositioning technology, so that the electronic device can photograph a photo or a video whose composition is the same as that of the target template.

Abstract: Authentication of electronic document is based on multiple digital signatures incorporated into a blockchain. Structured data, metadata, and instructions may be hashed to generate the multiple digital signatures for distribution via the blockchain. Any peer receiving the blockchain may then verify an authenticity of an electronic document based on any one or more of the multiple digital signatures incorporated into the blockchain.

Abstract: Systems and methods for displaying augmented reality content relative to an identified object are disclosed. The systems and methods can include a set of operations. An operation can include providing a first image. An operation can include determining interest points in the first image. An operation can include identifying an object in the first image. An operation can include identifying augmented reality content associated with the object. An operation can include determining a first transformation for displaying the augmented reality content in the first image relative to the identified object. An operation can include providing the interest points and the first transformation. An operation can include determining a second transformation for displaying the augmented reality content in a second image relative to the identified object using, at least in part, the first transformation and the interest points. An operation can include displaying, by a user device, the augmented reality content.

Abstract: An image selector selects images for visual similarity in some aspects and visual distinction in other aspects. A user submits a query to a search engine. Images identified by the search engine as relevant to the query are clustered into clusters having at least one similar attribute. Selection mechanisms organize images selected from each cluster based on a similarity metric into image rows. A selection metric is calculated for each image row and a row to be displayed is selected based on the selection metric. In some embodiments, images representative of a subset of image rows are displayed to a user and responsive to selection of a representative image, the corresponding image row is displayed.

Abstract: Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest and display position. Apparatuses can include a display, a memory device, and a controller. an example controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include assigning, by a controller coupled to a memory device, a perceived interest to an image of a plurality of images, wherein the perceived interest is assigned based in part on a change in position of a display coupled to the memory device while the image is viewable on the display, selecting the image from an initial viewing location on the display responsive to the assigned perceived interest, and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.

Abstract: Disclosed are examples of a system, techniques and non-transitory computer-readable storage medium that enable the selection of a response document template for generating an appropriate response to notification document. Respective components may generate an electronic document from the notification document. A common theme between two or more of the electronic documents may be identified. The electronic documents identified as having the common theme may be grouped in a notification document corpus. The notification document corpus may be analyzed with reference to received notification documents stored in a document repository. Based on results of the analysis, a template of a notification response document appropriate for responding to a specific notification document received by the enterprise may be selected. The selected response document template may be forwarded to a client device for further processing.

Abstract: A model including an information extraction layer that obtains image information of a training object in a depth image; a pixel point positioning layer that performs position estimation on a three-dimensional coordinate of human-body key points, defines a body part of the training object as a body component, and calibrates a three-dimensional coordinate of all human-body key points corresponding to the body component; a feature extraction layer that extracts a key-point position feature, a body moving speed feature, and a key-point moving speed feature for action recognition; a vector dimensionality reduction layer that combines the key-point position feature, the body moving speed feature, and the key-point moving speed feature as a multidimensional feature vector, and performs dimensionality reduction on the multidimensional feature vector; and a feature vector classification layer that classifies the multidimensional feature vector that is performed with dimensionality reduction, to recognize a fitness act

Abstract: Examples methods, apparatus/systems and articles of manufacture for auditing point-of-sale images are disclosed herein. Example methods disclosed herein include comparing a region of interest of an image displayed via a user interface with a plurality of reference product images stored in a database to identify a plurality of candidate product images from the plurality of reference product images as potential matches to a first product depicted in the image. For example, the candidate product images are associated with respective confidence levels indicating respective likelihoods of matching the first product. Disclosed example methods also include displaying, via the user interface, the candidate product images simultaneously with the image in a manner based on the respective confidence levels, and automatically selecting a first one of the candidate product images as matching the first product based on the respective confidence levels.

Abstract: A private information detector for data loss prevention is described.

Abstract: A computer-implemented method for computing a prediction on images of a scene includes: receiving one or more polarization raw frames of a scene, the polarization raw frames being captured with a polarizing filter at a different linear polarization angle; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and computing a prediction regarding one or more optically challenging objects in the scene based on the one or more first tensors in the one or more polarization representation spaces.

Abstract: Aspects of the disclosure are directed to an artificial reality (XR) browser configured to trigger an immersive experience. Implementations display an element at a browser chrome of the XR browser when an immersive experience is loaded. For example, the XR browser can include an application programming interface (API) that supports configuration of a browser chrome element by components of a webpage. The API call can cause the display of the browser chrome element, change a display property for the browser chrome element, or configure the browser chrome element in any other suitable manner. Upon receiving input at the browser chrome element (configured by the API call), the XR browser can transition from displaying a two-dimensional panel view of a webpage supported by loaded web resources (e.g., hypertext transfer protocol (HTTP) pages, graphic images, etc.) to a three-dimensional environment supported by preloaded immersive resources (e.g., three-dimensional models, graphic images, etc.).

Abstract: Disclosed is a method including presenting an input field on a user interface of a generalized search entity, wherein the generalized search entity processes data using a generalized search engine that indexes and searches both merchant sites and non-merchant sites, receiving user input in the input field and determining whether the user input corresponds to a product in a product database to yield a determination. When the determination indicates that the user input does correspond to the product in the product database, the method includes presenting a purchase-related search result, wherein the purchase-related search result is configured such that when a user interacts with the purchase-related search result and confirms a purchase associated with the purchase-related search result, the generalized search entity initiates a purchasing process for the product.

Abstract: According to the present invention, proposed is a method for collecting filtered image data, the method comprising the steps of: obtaining, by a computing apparatus, first image data and recording the first image data in an image data pool; obtaining, by the computing apparatus, second image data; performing, by the computing apparatus, an operation in a deep learning model by using the first image data and the second image data as input values, and calculating a first feature vector corresponding to the first image data and a second feature vector corresponding to the second image data; and comparing, by the computing apparatus, a similarity between the first feature vector and the second feature vector, and when the similarity is less than a certain value, recording the second image data in the image data pool.

Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: Hyperspectral, fluorescence, and laser mapping imaging with reduced fixed pattern noise is disclosed. A method includes actuating an emitter to emit a plurality of pulses of electromagnetic radiation and sensing reflected electromagnetic radiation resulting from the plurality of pulses of electromagnetic radiation with a pixel array of an image sensor. The method includes reducing fixed pattern noise in an exposure frame by subtracting a reference frame from the exposure frame. The method is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 513 nm to about 545 nm, from about 565 nm to about 585 nm, from about 900 nm to about 1000 nm, an excitation wavelength of electromagnetic radiation that causes a reagent to fluoresce, or a laser mapping pattern.

Abstract: Arrangements for facial recognition and processing are provided. In some aspects, a request to process a transaction may be received. In response to the request, image data of the user may be captured. The image data may be analyzed using one or more facial recognition techniques. If the user cannot be identified, payment information may be requested from the user. If the user can be identified, the user may be identified and user profile data associated with the user may be retrieved. In some examples, the user profile data may include user contact information, user device identifying information, and the like. User device data may be extracted from the user profile data and a notification including an instruction to initiate payment processing may be generated. The notification may then be transmitted to the user device identified from the extracted data and the instruction may be executed to initiate payment processing.

Abstract: A position information acquisition device for acquiring position information of a position acquisition target arranged in a space includes a processor configured to detect light that is based on identification information included in-common in captured images that are images of the space captured from a plurality of shooting directions that are different from each other, acquire a three-dimensional position in the space of the position information acquisition target identified by the identification information, based on detection positions of the detected light in the captured images, and position information of image capturing devices during capturing performed by the image capturing devices, acquire reliability degree information of the acquired three-dimensional position of the position information acquisition target, based on information relating to an imaging state of each image capturing device during capturing of the captured images, and store the acquired the reliability degree information in a storag

Abstract: Techniques for automatically collecting data and updating social media profiles based on sensor data are discussed herein. A system can comprise an activity identification component that based on sensor data received by the activity identification component, identifies an activity associated with an entity of a mobile device, resulting in an identified activity. Additionally, the system can comprise an updating component that based on the identified activity, updates a social media profile associated with the activity with activity data related to the identified activity.

Abstract: A correcting method of a real-time image is disclosed and includes: continuously receiving real-time images from an image inputting device; analyzing an image feature in each real-time image; computing a motion vector of each real-time image based on a feature difference between any two time-adjacent real-time images; computing a moving trajectory predicted value of a latest real-time image based on accumulated motion vectors; computing a compensation value of the latest real-time image when determining that a difference between the moving trajectory predicted value and the motion vector of the latest real-time image is within a correction allowable range, and correcting the latest real-time image by the compensation value; and, resetting the image inputting device and outputting a default image when determining that the difference between the moving trajectory and the motion vector of the latest real-time image exceeds the correction allowable range.

Abstract: System and method for automatic computer aided optical recognition of toys, for example, construction toy elements, detection of those elements on digital images and associating the elements with existing information is presented. The method and system may recognize toy elements of various sizes invariant of toy element distance from the image acquiring device for example camera, invariant of rotation of the toy element, invariant of angle of the camera, invariant of background, invariant of illumination and without the need of predefined region where a toy element should be placed. The system and method may detect more than one toy element on the image and identify them. The system is configured to learn to recognize and detect any number of various toy elements by training a deep convolutional neural network.

Abstract: A production control apparatus is provided. The production control apparatus receives a print product production instruction, determines, in accordance with the production instruction, a production apparatus to be used for print product production, determines a first inspection item according to quality requirement data received together with the production instruction and a second inspection item according to the production apparatus respectively, and regarding the print product produced by using the production apparatus, inspects the determined first inspection item and the second inspection item respectively, and obtains an inspection result.

Abstract: Disclosed is a display device including an external device interface configured to receive image data of an external device, a display configured to output the image data, and a controller configured to recognize a type of the external device using reference information of the external device, to correct image quality of the image data using distance information corresponding to the type of the external device, and to output the corrected image data.

Abstract: A device receives user interface interaction data that identifies an interaction that a user has with an interface that displays an image of a vehicle. The device generates, by using a data model to process at least a portion of the image, an array of vectors that includes one or more vectors relating to vehicle characteristics of the vehicle. The device assigns one or more weights to the one or more vectors based on the user interface action data. The device determines, based on a similarity analysis, similarity scores that indicate similarities between the array of vectors that include the one or more vectors that have been weighted and other arrays relating to the vehicles depicted in the images. The device selects a subset of the images based on the similarity scores and causes the subset of the images to be displayed.

Abstract: Computer-implemented methods and systems are provided for managing one or more images. An example method for indexing involves operating a processor to, divide an image portion of an image of the one or more images into a plurality of patches, for each patch of the image: detect one or more features of the patch; and assign the patch to at least one cluster of a plurality of clusters of the image, based on the one or more features of the patch. The processor is operable to, for each cluster of the image, select at least one patch from the cluster as at least one representative patch for the cluster; for each representative patch, generate an encoded representation based on one or more features of the representative patch; and generate an index identifier for the image based on the encoded representations of the representative patches of the image.

Abstract: An image processing device includes a camera interface connectable to a camera configured to capture a video of a worker in a work area, an output interface connectable to a display device that is viewable from the work area, a memory that stores task information about a task to be performed by the worker, and a processor configured to determine a position and a posture of the worker in the work area based on the captured video, determine whether the worker has performed the task properly based on the task information stored in the memory and the determined position and posture of the worker, upon determining that the worker has not performed the task properly, extract from the video a first part showing the task that has been performed by the worker, and control the output interface to output the first part to the display device.

Abstract: Disclosed is an electronic apparatus. The electronic apparatus includes: a camera and a processor configured to control the electronic apparatus to: track an object area including a user object from a captured image obtained through the camera and identify a display area from the captured image based on the tracked object area, and the processor may be further configured to: identify a display area of a first captured image based on the object area identified from the first captured image, identify the display area of a second captured image based on an object area identified from the second captured image, and identify a display area of a third captured image based on a display area of the first captured image and a display area of the second captured image.

Abstract: A method and a system for calculating a focusing parameter of a binocular stereo camera, and an intelligent terminal are provided. The method includes: calculating a lower limit value and an upper limit value of a distance measurement range; acquiring a depth-of-field range in accordance with the lower limit value and the upper limit value; calculating a maximum value and a minimum value of an image distance gain corresponding to a real object distance within the depth-of-field range, and calculating an optimal image distance gain in accordance with the maximum value and the minimum value; acquiring an optimal object distance of a focused target in accordance with the optimal image distance gain; and calculating an optimal size of the focused target in accordance with the optimal object distance.

Abstract: A method for managing a region tag comprises: acquiring region identifier information of a geographic region; acquiring an attribute evaluation tag of the geographic region by a user in the geographic region and a time identifier of the attribute evaluation tag; integrating the region identifier information, the attribute evaluation tag, and the time identifier thereof into a region tag of the geographic region; clustering region tags to generate a region time period tag of the geographic region for a time period based on that each region tag comprises the region identifier information of the geographic region and a time identifier within the time period, wherein the region time period tag of the geographic region for the time period corresponds to a function attribute of the geographic region for the time period; and outputting region time period tags of the geographic region for time periods, respectively.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.