Abstract: There are provided a plurality of methods for detecting a scene change in a streamed video, the streamed video comprising a series of pictures. An example method comprises calculating, for a plurality of positions, a difference between the costs of coding macro-blocks at the same position in successive pictures. The method further comprises identifying a new scene when the sum of the differences for a plurality of positions meets a threshold criterion. There is further provided a method of determining the perceptual impact of a packet loss on a streamed video the method comprising: identifying a packet loss; and determining if the lost packet contained information relating to a picture at the start of a new scene, wherein a new scene is detected using one of the methods disclosed herein.

Abstract: Systems and methods are provided for accessing a source code repository comprising a plurality of versions of code, analyzing the plurality of versions of code of the component to compute metrics to identify each version of code, analyzing the metrics to determine a subset of the metrics to use to as a fingerprint definition to identify each version of the code, generating a fingerprint for each version of code using the fingerprint definition, generating a fingerprint matrix with the fingerprint for each version of code for the software component and storing the fingerprint definition and the fingerprint matrix.

Abstract: A method of managing a network bandwidth by controlling of an image compression rate and controlling of a frame generation, and an image transmission system using the same are provided. The method includes approving generation of an intra-frame (I-frame) for one among a plurality of image compression hardware (H/W) units, storing compressed image data compressed by the plurality of image compression H/W units in a plurality of buffers corresponding to the plurality of image compression H/W units, controlling a data storage level of the plurality of buffers, and encapsulating the compressed image data stored in each of the plurality of buffers into a network packet and transmitting the encapsulated image data to the outside through an external network.

Abstract: In one aspect, a hand-held device is provided with a display, camera, motion detector and processor. The processor receives a sequence of images from the camera, the relative distance to the object based on the parallax associated with two or more images of the sequence and the motion of the camera is determined, and the image is augmented and displayed based on the relative distances.

Abstract: The techniques of this disclosure may be generally related to signaling values of a quantization matrix. In some examples, coefficient values in the quantization matrix may be downsampled with different factors based on where the coefficient values are located in the quantization matrix.

Abstract: A memory protection device is used for protecting a memory. The memory protection device includes a filtering unit and an encoding unit. The filtering unit searches an input data and outputs an encoding selection signal based on a bit component pattern of the input data. The encoding unit selects one or more encoding implementations among a plurality of encoding implementations based on the encoding selection signal from the filtering unit, to encode the input data.

Abstract: Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Abstract: Image data is transformed for display on a target display. A sigmoidal transfer function provides a free parameter controlling min-tone contrast. The transfer function may be dynamically adjusted to accommodate changing ambient lighting conditions. The transformation may be selected so as to automatically adapt image data for display on a target display in a way that substantially preserves creative intent embodied in the image data. The image data may be video data.

Abstract: A computer-implemented method includes determining interesting moments in a video. The method further includes generating video segments based on the interesting moments, wherein each of the video segments includes at least one of the interesting moments from the video. The method further includes generating a collage from the video segments, where the collage includes at least two windows and wherein each window includes one of the video segments.

Abstract: A composite image creation system includes: a moving object region specifying unit that specifies a moving object region in each of a plurality of images consecutive in times series; a luminance correction unit that executes luminance correction processing to reduce a difference between a luminance signal in at least a part of one moving object region in one image and a luminance signal in at least a part of another moving object region in another image; and an image combining unit that combines the one image including the one moving object region subjected to the luminance correction processing and the other image including the other moving object region subjected to the luminance correction processing, and generates a composite image by adding predetermined color information to at least a part of the one moving object region and at least a part of the other moving object region in time series.

Abstract: Methods and systems to insert advertisements and/or other supplemental or replacement content into a stream of video content are described. In some example embodiments, the methods and systems receive a request to replace a portion of video content currently playing at a client device with supplemental video content, such as an advertisement. In response to the request, the methods and systems determine one or more fingerprints of the video content plating at the client device, identify one or more frames of the video content at which to insert the supplemental video content based on the one or more fingerprints, and insert the supplemental video content at the identified one or more frames of the video content.

Abstract: An enhanced metadata structure and associated process is provided which captures and stores metadata gathered about the source and usage of a media asset or file. The source and usage metadata is integrated, such as by encoding within the enhanced media file, as the media asset is transferred and used. The integrated metadata accumulates, as a trail of source information and usage information in the enhanced media asset, and can be extracted upon arrival at a target computer system.

Abstract: A frame rate conversion apparatus is provided. The frame rate conversion apparatus includes at least one processor configured to determine a noise strength of a block of a current frame among a plurality of frames forming an input video, generate a block of an interpolation frame corresponding to the block of the current frame by estimating a motion vector of a block of the interpolation frame based on the noise strength, and insert the interpolation frame between the current frame and an adjacent frame to adjust a frame rate of the input video.

Abstract: An information processing apparatus configured to generate an image to be displayed on a display device including an image capturing unit includes, an image acquisition unit configured to acquire a captured image obtained by the image capturing unit, an estimation unit configured to estimate a position and an orientation of the image capturing unit based on the captured image, a first generation unit configured to generate an image of a virtual object based on the estimated position and orientation of the image capturing unit, a moving velocity acquisition unit configured to acquire a moving velocity of the image capturing unit, a second generation unit configured to generate an image representing the moving velocity, and a display control unit configured to cause the display device to display a composite image obtained by combining the image of the virtual object and the image generated by the second generation unit.

Abstract: Methods, systems, and media for summarizing a video with video thumbnails are provided.

Abstract: A method is implemented at an electronic device for displaying output from an application on a fixed orientation display. The electronic device includes a display module and an application that are distinct from each other. The application sends a request to display output from the application in a second orientation with second dimensions, and receives from the electronic device information indicating that a display associated with the electronic device is a fixed orientation display with a first orientation and first dimensions. The application then determines a standard aspect ratio designated for a type of the first application. The output from the application is thereby scaled based on the standard aspect ratio and the first dimensions of the target display device for display by the display module on the fixed orientation display.

Abstract: The present disclosure provides a method and a system for identifying mobile device according to information feature of applications of the mobile device. In an analysis device, obtaining a first information feature related to a first application and a second information feature related to a second application, wherein the first information feature is corresponding to one of the mobile devices, the second information feature is corresponding to one of the mobile devices. The analysis device compares the degree of similarity between the first information feature and the second information feature, and a comparison result determines whether the corresponding mobile device with the first information feature and the corresponding mobile device with the second information feature are the same mobile device. Thus, the method and the system can identify whether or not certain applications are already installed to the same mobile device.

Abstract: Systems, methods and computer readable mediums are presented for encoding a stream of input video frames, in which the input video frames are down sampled and the down sampled frames are encoded in a first encoding pass to generate a set of first pass coded frames forming a single first pass I frame and a plurality of first pass P frames formed into first pass sub-groups of pictures (SUB-GOPs). First pass encoding statistics are generated for individual first pass SUB-GOPs, and the statistics are used to encode the input video frames in a second encoding pass to generate a set of second pass coded frames.

Abstract: An image-processing method includes obtaining an image including a target object, the image being formed by an array of pixels. A current frame portion is extracted from the image, the frame portion being at least a portion of the pixels forming the image, corresponding to a region of interest in the image, the region of interest comprising the target object. A previously calculated current super-resolved frame portion is provided, corresponding to the region of interest in the image. An updated super-resolved frame portion is calculated from the current frame portion and the current super-resolved frame portion.

Abstract: This information processing system comprises: an object detection unit which detects and tracks an object in motion video data and detects a plurality of object elements which represent elements of the object; a feature value extraction unit which extracts respective feature values for each of the object elements from frame images which configure the motion video data; a frame selection unit which selects, for each object element, the frame images which satisfy respective frame selection criteria which are set for each object element; and a feature value linking unit which links frame specification information which specifies the frame images which are selected with the frame selection unit for each object element, and the object element feature values which are extracted from the selected frame images, and stores same in a prescribed storage unit.

Abstract: An image processing device including an image sequence acquisition section that acquires an image sequence that includes a plurality of images; and a processing section that performs an image summarization process that deletes some of the plurality of images included in the image sequence acquired by the image sequence acquisition section to acquire a summary image sequence. The processing section detecting a scene change from the image sequence, setting a partial image sequence that includes images among the plurality of images included in the image sequence based on the detected scene change, selecting a reference image and a determination target image from the partial image sequence, and determining whether or not the determination target image can be deleted based on deformation information about the reference image and the determination target image.

Abstract: Various systems and methods for automated stop-motion animation are described herein. An image capture system for automated stop-motion animation includes a motion sensing subsystem to: monitor motion in a camera field of view of the image capture system; and detect when there is no motion in the camera field of view for longer than a threshold period; an image capture device to capture a capture image of the camera field of view; and a video renderer to add the capture image with a set of other images to form a stop-motion animation.

Abstract: In one embodiment, a system comprises a processor to retrieve a first data element including a value X0 and Y0, provide a hash function for use with a hash table having buckets, the hash function having a first and second input that in combination map to one of the buckets wherein the first input is in a range of X-values having X-value sub-ranges, the second input is in a range of Y-values having Y-value sub-ranges, different combinations of the X-value sub-ranges and the Y-value sub-ranges map using the hash function to different buckets, and input the value X0 and Y0 into the hash function yielding an output which is indicative of a first bucket of the hash-table. Related apparatus and methods are also described.

Abstract: Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. Events of interest can be tagged within the video based on, for instance, user input, audio signals, motion vectors, and metadata corresponding to the video. A camera system can process video data based on the events of interest tagged within the video before outputting the video data. For instance, video scenes associated with tagged events of interest can be combined to form a video highlight clip. Likewise, portions of video tagged with events of interest can be encoded or stored at a higher resolution or frame rate than other portions of the video.

Abstract: A foreground extracting method is provided. The foreground extracting method includes: generating a plurality of sampling images; detecting contours from the sampling images to generate a plurality of contour images including a current frame and a previous frame; comparing first positions of a first plurality of pixels in a first decision-making area of the current frame with second positions of a second plurality of pixels in a second decision-making area of the previous frame; determining directions from the second positions to the first positions and distances between the first positions and the second positions; excluding, from the first decision-making area, at least one pixel of the first plurality of pixels in response to the distance of the at least one pixel being less than or equal to a preset critical magnitude.

Abstract: The present disclosure discloses an information processing method and an electronic device, and relates to the field of electronic device application. The disclosure is made to enable a user to perform image information processing while clearly viewing image information. The method comprises analyzing image information of a to-be-displayed image and/or a captured image; determining a display position of an interaction interface based on the result of analyzing; and displaying the interaction interface on a displaying unit based on the display position. The disclosure is mainly used in the process of taking phones by a mobile phone.

Abstract: An apparatus may include a memory to store a recorded video. The apparatus may further include an interface to receive at least one set of sensor information based on sensor data that is recorded concurrently with the recorded video and a video clip creation module to identify a sensor event from the at least one set of sensor information and to generate a video clip based upon the sensor event, the video clip comprising video content from the recorded video that is synchronized to the sensor event.

Abstract: Techniques related to video codec architecture for next generation video are described.

Abstract: Various embodiments may obtain an image representation of an object for use in image matching and content retrieval. For example, an image matching system processes video content items to determine one or more scenes for one or more video content items. The image matching system can extract, from at least one video frame for a scene, feature descriptors relating to one or more objects represented in the at least one video frame. The image matching system indexes the feature descriptors into a feature index storing information for each of the feature descriptors and respective corresponding video frame. The image matching system correlates the feature descriptors of the feature index to determine one or more groups having similar feature descriptors. The image matching system indexes the one or more groups into a correlation index storing information for each of the one or more groups and respective corresponding feature descriptors.

Abstract: The present disclosure provides an image capture, curation, and editing system that includes a resource-efficient mobile image capture device that continuously captures images. In particular, the present disclosure provides low power frameworks for processing, compressing, and transmitting images at a mobile image capture device. One example low power framework includes a scene analyzer that analyzes a scene depicted by a first image and determines whether to store the first image in a non-volatile memory or to discard the first image from a temporary image buffer without storing the first image in the non-volatile memory.

Abstract: A video codec including a memory and a processor operably coupled to the memory. The processor is configured to compute a reconstructed pixel based on a residual pixel and a first prediction pixel and compute a second prediction pixel in a directional intra prediction mode based on the reconstructed pixel, where the first and second prediction pixels are located in a same block of a video frame. A method for intra prediction including computing a prediction pixel adaptively based on a plurality of reconstructed neighboring pixels, where a distance between the prediction pixel and each of the plurality of reconstructed neighboring pixels is one.

Abstract: A video segmentation system can be utilized to automate segmentation of digital video content. Features corresponding to visual, audio, and/or textual content of the video can be extracted from frames of the video. The extracted features of adjacent frames are compared according to a similarity measure to determine boundaries of a first set of shots or video segments distinguished by abrupt transitions. The first set of shots is analyzed according to certain heuristics to recognize a second set of shots distinguished by gradual transitions. Key frames can be extracted from the first and second set of shots, and the key frames can be used by the video segmentation system to group the first and second set of shots by scene. Additional processing can be performed to associate metadata, such as names of actors or titles of songs, with the detected scenes.

Abstract: A method for video browsing includes comparing a current image frame with a previous image frame prior to the current image frame in a video to obtain target block information, identifying the current image frame as a keyframe if the target block information satisfies a predetermined condition, and playing the keyframe.

Abstract: Embodiments provide a video camera that can be configured to compress video data in a manner that achieves a targeted output size in a computationally efficient manner. The video compression systems and methods can be used with DCT-based compression standards to include a rate control aspect. The rate controlled video compression methods can be configured to compress video data in, real time and/or using a single pass. During compression of video data, the video compression systems and methods can modify compression parameters to achieve a targeted file size while maintaining relatively high visual quality of the compressed images.

Abstract: An aspect of the disclosure is directed to transmitting a reduced stream of encoded video frames. An original stream of encoded video frames is analyzed, a plurality of frames are removed without re-encoding encoded video frames to generate the reduced stream of encoded video frames, and the reduced stream and metadata describing the plurality of removed frames are transmitted. An aspect of the disclosure is directed to creating a new version of an original stream of encoded video frames from a reduced stream of encoded video frames. The reduced stream of encoded video frames is received, the plurality of removed frames is identified based on metadata related to the reduced stream, a plurality of replacement frames are generated, and the plurality of replacement frames are added to the reduced stream of encoded video frames to recreate the new version of the original stream of encoded video frames.

Abstract: A system and process for video characterization that facilitates video classification and retrieval, as well as motion detection, applications. This involves characterizing a video sequence with a gray scale image having pixel levels that reflect the intensity of motion associated with a corresponding region in the sequence of video frames. The intensity of motion is defined using any of three characterizing processes. Namely, a perceived motion energy spectrum (PMES) characterizing process that represents object-based motion intensity over the sequence of frames, a spatio-temporal entropy (STE) characterizing process that represents the intensity of motion based on color variation at each pixel location, a motion vector angle entropy (MVAE) characterizing process which represents the intensity of motion based on the variation of motion vector angles.

Abstract: An image display apparatus includes: a light-emitting unit having a plurality of light sources capable of controlling emission brightness individually; a display unit that displays an image on a screen; and a control unit that controls the respective emission brightnesses of the respective light sources according to images of regions on the screen corresponding to the respective light sources. When a difference between an image of a subject frame and an image of a past frame earlier than the subject frame is caused from movement of a predetermined object, the control unit suppresses the emission brightness of a light source corresponding to an image region of the subject frame brighter than that of the past frame from changing from the emission brightness of a light source corresponding to this image region of the past frame.

Abstract: Methods and system for providing content are disclosed. One method can comprise receiving a request for data at a first time, wherein the data comprises a first time duration, determining a buffer size based upon the first time duration, and determining a playback window based upon the determined buffer size and the first time. The method can also comprise synchronizing presentation of content on a plurality of devices.

Abstract: A method and apparatus for generating a thumbnail of a video content in an electronic device is provided. The method for generating the thumbnail of the video content in the electronic device includes dividing a video content into a plurality of pieces, extracting a characteristic point of each of the plurality of pieces, comparing the characteristic point of each of the plurality of pieces and a characteristic point of each of a plurality of pieces of at least one other video content, and determining a thumbnail of the video content from a piece of the video content that is not the same as a piece of the at least one other video content, based on a result of the comparing.

Abstract: An image sequence acquisition section acquires an image sequence including a plurality of images. A processing section performs an image summarization process that acquires a summary image sequence based on first and second deletion determination processes that delete some of the images included in the acquired image sequence. The processing section sets an attention image sequence including one at least one attention image included in the plurality of images, selects a first reference image from the attention image sequence, selects a first determination target image from the plurality of images, and performs the first deletion determination process that determines whether the first determination target image can be deleted based on first deformation information that represents deformation between the first reference image and the first determination target image.

Abstract: A method of removing unwanted camera motion from a video sequence is provided. The method matches a group of feature points between each pair of consecutive video frames in the video sequence. The method calculates the motion of each matched feature point between the corresponding pair of consecutive video frames. The method calculates a set of historical metrics for each feature point. The method, for each pair of consecutive video frames, identifies a homography that defines a dominant motion between the pair of consecutive frames. The homography is identified by performing a geometrically biased historically weighted RANSAC on the calculated motion of the feature points. The geometrically biased historically weighted RANSAC gives a weight to the calculated motion of each feature point based on the historical metrics calculated for the feature point. The method removes the unwanted camera motion from the video sequence by using the identified homographies.

Abstract: Methods and apparatus provide for a Scene Detector to optimize the location of scene breaks in a set of video frames. Specifically, the Scene Detector receives a set of video frames and a corresponding content model for each video frame. As the Scene Detector identifies a scene in the set of video frames, the Scene Detector updates statistical predictors with respect to characteristics of that scene's characteristics. The Scene Detector thereby utilizes the updated statistical predictors to identify a video frame that may be the next scene break. The Scene Detector analyzes video frames with respect to the possible next scene break in order to identify the actual second scene break that occurs after the previously identified scene break.

Abstract: Mechanisms are provided for retrieving and presenting related content using text stream data feeds. Text stream data feeds such as caption information associated with media content or conversations associated with social networking applications are aggregated and used to retrieve related media content, text documents, and advertisements. Text stream data feeds that a user is exposed to may indicate that the user is interested or at least primed for particular types of related content. In particular examples, an inverse vector space search engine is used to determine particular pieces of related content and categories of interest. Post filtering may also be applied to the results.

Abstract: A system for tagging an object comprises and interface and a processor. The interface is configured to receive an image. The processor is configured to determine a key frame. Determining a key frame comprises determining that the image is stable. The processor is configured to determine a tag for an item in the key frame.

Abstract: A contrast calculating unit calculates a contrast of a high frequency component and a contrast of a low frequency component of a transformed radiographic image at an analysis point set by an analysis point setting unit. A ratio calculating unit calculates a ratio of the contrast of the high frequency component to the contrast of the low frequency component. A determining unit determines whether or not there is a body motion during an imaging operation to take the radiographic image based on the ratio. A display control unit displays a result of the determination on a display unit.

Abstract: Systems and methods of motion detection on encrypted or scrambled video data streams are provided. Some methods can include identifying macroblock size information for an encrypted/scrambled video data stream and using the identified macroblock size information to determine a presence of motion in the encrypted/scrambled video data stream without decrypting and descrambling the encrypted/scrambled video data stream.

Abstract: A solution is provided for temporally segmenting a video based on analysis of entities identified in the video frames of the video. The video is decoded into multiple video frames and multiple video frames are selected for annotation. The annotation process identifies entities present in a sample video frame and each identified entity has a timestamp and confidence score indicating the likelihood that the entity is accurately identified. For each identified entity, a time series comprising of timestamps and corresponding confidence scores is generated and smoothed to reduce annotation noise. One or more segments containing an entity over the length of the video are obtained by detecting boundaries of the segments in the time series of the entity. From the individual temporal segmentation for each identified entity in the video, an overall temporal segmentation for the video is generated, where the overall temporal segmentation reflects the semantics of the video.

Abstract: There are provided a method and apparatus for adaptive Group of Pictures structure selection. The apparatus includes an encoder for encoding a video sequence using a Group of Pictures structure by performing, for each Group of Pictures for the video sequence, picture coding order selection, picture type selection, and reference picture selection. The selections are based upon a Group of Pictures length.

Abstract: Object detection techniques are described. In one or more implementations, a plurality of images are received by a computing device. The plurality of images are analyzed by the computing device to detect whether the images include, respectively, a depiction of an object. If an object is found in a first image, the locations, angles and scales for object detection can be further restricted in a second one. If an object is not found in a first one of the image, different portions of a second one of the images are analyzed for object detection.

Abstract: An image processing method includes steps of: providing a source face image and a target face image; extracting facial features from the source face image and the target face image respectively; detecting feature dimensions of the facial features from the source face image and the target face image respectively; pairing the facial features from the source face image with the facial features from the target face image; and, forming an output face image by adjusting the facial features from the source face image in at least one of the feature dimensions according to the paired features from the target face image in the corresponding feature dimensions.