Abstract: Systems and methods of detecting irregular events include the extraction of values for measure in each of a plurality of notifications. The extracted values are stored in a measures database and a distribution is calculated for the values of each of the measures. The extracted values are compared to the calculated distributions to determine if an irregular event has occurred. An irregularity alert is produced if an irregular event has occurred.

Abstract: According to an embodiment, an image analysis device includes one or more processors. The one or more processors configured to: calculate a feature map of a target image; calculate context score information representing context of each pixel in the target image on the basis of the feature map; calculate shape score information representing a shape of an object in at least one region included in the target image on the basis of the feature map; correct the shape score information in the at least one region using the context score information in a corresponding region; and output the corrected shape score information in the at least one region.

Abstract: In some aspects, a method, computer program product, and system are provided for query optimization. In some implementations, there may be provided a method including detecting a select query as a candidate for optimization, the select query including an order by, an offset value, and a limit value; determining, in response to the detecting, a modified offset value as the difference between the offset value and a size of a smaller dataset; and performing the select query to form a result set, the select query executed based on at least the modified offset value. Related systems, methods, and articles of manufacture are also described.

Abstract: Systems, methods, and computer-readable media to improve multi-image color-refinement operations are disclosed for refining color differences between images in a multi-image camera system with application to disparity estimation. Recognizing that corresponding pixels between two (or more) images of a scene should have not only the same spatial location, but the same color, can be used to improve the spatial alignment of two (or more) such images and the generation of improved disparity maps. After making an initial disparity estimation and using it to align the images, colors in one image may be refined toward that of another image. (The image being color corrected may be either the reference image or the image(s) being registered with the reference image.) Repeating this process in an iterative manner allows improved spatial alignment between the images and the generation of superior disparity maps between the two (or more) images.

Abstract: A method for determining a property of a geological formation based on an optical image of rock samples taken from the formation is presented therein. The image comprises a plurality of pixels and the method comprises defining windows in the image, each window comprising predetermined number of pixels and being of a predetermined shape. The method also includes, for each window, extracting a rockprint value representative of the window. A rockprint comprises indicators for characterizing a texture of the window. The method also includes classifying the windows into categories of a predetermined set. Each category is representative of one type of rock and the classification is based on a comparison of the rockprint value of each window with rockprint values of images of reference rock samples for each category. Based on the classification, the method then includes determining the at least one property of the geological formation, ie the quantification of each type of rock in the sample.

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like.

Abstract: A convolutional neutral network identification efficiency increasing method is applied to a related device. The convolutional neutral network identification efficiency increasing method includes analyzing an input image to acquire foreground information, utilizing the foreground information to generate a foreground mask, and transforming the input image into an output image via the foreground mask. The output image is used to be an input of the convolutional neutral network identification for preferred object identification efficiency.

Abstract: A method for image processing includes: acquiring features of multiple images of a target object and a standard feature of the target object; and determining trusted images of the target object from the multiple images of the target object according to similarities between the features of the multiple images of the target object and the standard feature thereof, wherein similarities between features of the trusted images of the target object and the standard feature of the target object meet a preset similarity requirement. The image processing method may be applied to application scenarios such as image comparison, identity recognition, target object search, and similar target object determination.

Abstract: A system and method for actively selecting and labeling images for semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; determining the quality of the semantic label image data based on prediction probabilities associated with regions or portions of the image; and identifying a region or portion of the image for manual labeling if an associated prediction probability is below a pre-determined threshold.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for autonomous vehicle operation are provided. For example, a computing system can receive object data that includes portions of sensor data. The computing system can determine, in a first stage of a multiple stage classification using hardware components, one or more first stage characteristics of the portions of sensor data based on a first machine-learned model. In a second stage of the multiple stage classification, the computing system can determine second stage characteristics of the portions of sensor data based on a second machine-learned model. The computing system can generate an object output based on the first stage characteristics and the second stage characteristics. The object output can include indications associated with detection of objects in the portions of sensor data.

Abstract: A system and method is provided for generating a finite element (FE) model of an anatomical structure based on a fitted model (340) of the anatomical structure and association data. A segmentation model (310) may be provided for segmenting the anatomical structure. Association data may be obtained which associates a segmentation model part (315) of the segmentation model (310) with a mesh property, the segmentation model part (315) representing a pre-determined anatomical region of interest. The segmentation model may be applied to a medical image (320) of a subject, thereby obtaining a fitted model (340) providing a segmentation of the anatomical structure (330). The finite element model (350) may then be generated based on the fitted model (340) and the association data, said generating comprising meshing a finite element model part of the finite element model in accordance with the mesh property, the finite element model part corresponding with the pre-determined anatomical region of interest.

Abstract: A line segment detection method includes acquiring an image, extracting from the image a straight line that includes a line segment, acquiring a luminance distribution of the straight line, generating a virtual function model that contains a distribution of a foreground and a background of the image by using the luminance distribution, and determining whether luminance values near end points (start point and end point) of the line segment contained in the virtual function model probabilistically belong to the foreground or the background, and estimating end points (start point and end point) in the virtual function model.

Abstract: A non-transitory computer-readable medium encoded with a computer-readable program, which when executed by a processor, will cause the processor to execute an image processing method, the image processing method including establishing a zero crossing region from a target image onto a screen, wherein the zero crossing region comprises a corresponding value. The method further includes receiving a variable input and an integration time input, wherein the variable input comprises a frequency number for an image accumulation procedure, and wherein the integration time comprises a time period for which an aperture for a sensor receives incoming signals. Additionally, the method includes performing the image accumulation procedure. Moreover, the method includes producing a final greyscale image by adding a plurality of sets of vertically shifted pixel values, wherein the frequency number for the image accumulation procedure ranges from 3 to 20.

Abstract: Techniques for using deep learning to facilitate patch-based image inpainting are described. In an example, a computer system hosts a neural network trained to generate, from an image, code vectors including features learned by the neural network and descriptive of patches. The image is received and contains a region of interest (e.g., a hole missing content). The computer system inputs it to the network and, in response, receives the code vectors. Each code vector is associated with a pixel in the image. Rather than comparing RGB values between patches, the computer system compares the code vector of a pixel inside the region to code vectors of pixels outside the region to find the best match based on a feature similarity measure (e.g., a cosine similarity). The pixel value of the pixel inside the region is set based on the pixel value of the matched pixel outside this region.

Abstract: Example implementations relate to page structure adjustments. The system may convert a binary tree representation of a plurality of content items to an initial page structure that includes a plurality of regions. The system may determine a region metric of each of the plurality of regions. The system may determine an item metric of each of the plurality of content items rendered on a respective region of the plurality of regions. The system may calculate an error associated with the initial page structure based on the region metric and the item metric for each of the plurality of regions. The system may generate a plurality of adjusted page structures and calculate an error associated with each adjusted page structure. The system may select an adjusted page structure from the plurality of adjusted page structures based on the selected adjusted page structure being associated with an error below a threshold.

Abstract: Systems, methods, and devices are provided in which photodetectors disposed throughout a display are used to control the display brightness. The photodetectors are to be used for ambient light sensing, proximity sensing, or to compensate for aging OLEDs. In some embodiments, photodiodes are fabricated with OLEDs during the TFT fabrication process. In some embodiments, the photodetectors may be disposed throughout the display in zones containing OLEDs. The photodetectors are used to control the display brightness and color for the OLEDs in areas around each photodetector based on ambient light, aging, and/or nearby objects. A controller makes driving strength adjustments to the OLEDs in each zone independent of other zones. Photodetectors disposed throughout the display may improve proximity sensing and provide additional functionality to the device.

Abstract: A method for searching Web pages that begins with the identification of query criteria entered into a search provider. A set of Web pages that satisfies the query criteria are determined. Then, a page ranking is ascertained for each Web page in the set. The Web pages are presented in order by page ranking. The page ranking is based upon at least one relevancy factor that includes a browsing-time factor. The browsing-time factor can be calculated from browsing behavior exhibited by users, who provided similar query criteria. The set of users from which the browsing-time factor is calculated can include a current user, a set of users sharing characteristics with the current user, and/or a general set of users. Browsing behavior can include time spent at a Web page, where the browsed Web page is a page that was previously presented as a search result for the similar query criteria.

Abstract: A video is received from a video capture device. The video capture device has a front facing camera and a display screen which displays the video captured by the video capture device in real time to a user. One or more images of a pinna and head of the user in the video are used to automatically determine one or more features associated with the user. The one or more features include an anatomy of the user, a demographic of the user, a latent feature of the user, and an indication of an accessory worn by the user. Based on the one or more features and one or more HRTF models, a head related transfer function (HRTF) is determined which is personalized to the user.

Abstract: Aspects of the subject disclosure may include, for example, a method performed by a processing system of determining a present orientation of a display region presented at a first time on a display of a video viewer, predicting a future orientation of the display region occurring at a second time based on data collected, to obtain a predicted orientation of the display region to be presented at the second time on the display of the video viewer, identifying, based on the predicted orientation of the display region, a first group of tiles from a video frame of a panoramic video being displayed by the video viewer, wherein the first group of tiles covers the display region in the video frame at the predicted orientation, and a plurality of objects moving in the video frame from the first time to the second time, wherein each object of the plurality of objects is located in a separate spatial region of the video frame at the second time, wherein a second group of tiles collectively covers the separate spatial re

Abstract: The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

Abstract: A method and system for action recognition in a video sequence is disclosed. The system comprises a camera configured to capture the video sequence and a server configured to perform action recognition. The camera comprises an object identifier that identifies an object of interest in an object image frame of the video sequence; an action candidate recognizer configured to apply a first action recognition algorithm to the object image frame to detect presence of an action candidate; an video extractor configured to produce action image frames of an action video sequence by extracting video data pertaining to a plurality of image frames from the video sequence; and a network interface configured to transfer the action video sequence to the server. The server comprises an action verifier configured to apply a second action recognition algorithm to the action video sequence to verify or reject that the action candidate is an action.

Abstract: A system for plant leaf identification includes: a plant image capturing unit which captures an image of a target plant to generate a plant image; a plant area image extraction unit which separates a background area and a plant area in the plant image to generate a plant area image including the plant area; a plant area image skeletonization unit which skeletonizes the plant area image to generate a skeletonized plant area image; a candidate leaf path generation unit which identifies a root vertex, a junction vertex and a leaf tip vertex in the skeletonized plant area image, and generates a plurality of candidate leaf paths by calculating all possible paths from the root vertex to the leaf tip vertex; and a final leaf path reconstruction unit which reconstructs a final leaf path matching the plant image by selecting the plurality of candidate leaf paths.

Abstract: Detecting objects in an image includes: extracting core instance features from the image; calculating feature maps at multiscale resolutions from the core instance features; calculating detection boxes from the core instance features; calculating segmentation masks for each detection box of the detection boxes at the multiscale resolutions of the feature maps; merging the segmentation masks at the multiscale resolutions to generate an instance mask for each object detected in the image; refining the confidence scores of the merged segmentation masks by auxiliary networks calculating pixel level metrics; and outputting the instance masks as the detected objects.

Abstract: A process is provided for graphically guiding a user of a capture device (e.g., smartphone) to more accurately capture a series of images of a building. Images are captured as the picture taker moves around the building—taking a plurality (e.g., 4-16) of images from multiple angles and distances. Before capturing an image, a quality of the image may be determined to prevent low quality images from being captured or to provide instructions on how to improve the quality of the image capture. The series of captured images are uploaded to an image processing system to generate a 3D building model that is returned to the user. The returned 3D building model may incorporate scaled measurements of building architectural elements and may include a dataset of measurements for one or more architectural elements such as siding (e.g., aluminum, vinyl, wood, brick and/or paint), windows, doors or roofing.

Abstract: Techniques are disclosed which provide a detected object tracker for a video analytics system. As disclosed, the detected object tracker provides a robust foreground object tracking component for a video analytics system which allow other components of the video analytics system to more accurately evaluate the behavior of a given object (as well as to learn to identify different instances or occurrences of the same object) over time. More generally, techniques are disclosed for identifying what pixels of successive video frames depict the same foreground object. Logic implementing certain functions of the detected object tracker can be executed on either a conventional processor (e.g., a CPU) or a hardware acceleration processing device (e.g., a GPU), allowing multiple camera feeds to be evaluated in parallel.

Abstract: A method for box filtering includes obtaining, by a computing device, a form image, and identifying, by the computing device, a region of the form image that includes boxes. Vertical lines in the region of the form image are detected. The boxes in the region are detected according to the plurality of vertical lines, and image content is extracted from the boxes.

Abstract: The most active part of a video frame is magnified on a display to accommodate people with eye maladies such as glaucoma or perhaps retinitis pigmentosa. An area of interest in a video frame is identified, and that area is expanded or magnified to the center of the display, where people suffering from loss of peripheral vision can best see. Assuming the viewer sits a benchmark distance from the display, the active part of the image is expanded to fit in what can be seen in the center of the display without moving the head left to right and up and down. This may be done by the display recognizing where most of the action is taking place by means of with motion vectors and I-macroblocks, or by allowing the viewer to switch to various predetermined blocks on screen using a remote control.

Abstract: Viscoelastic characteristics in a subject are imaged by a simple method. A viscoelasticity measurement reference layer whose elastic modulus and viscosity coefficient are known is included between an ultrasonic wave transmitting/receiving probe and the subject and distributions of elastic modulus and viscosity coefficient inside the subject are calculated from a change over time of strain generated in the viscoelasticity measurement reference layer and the subject according to a pressure applied to the subject which changes over time and known elastic modulus and viscosity coefficient of the viscoelasticity measurement reference layer.

Abstract: A system and method for constructing and updating a two dimensional (2D) grid cell map based on depth images and RGB images. The method includes: providing an RGB image and a depth image by a sensor of a computing device; determining scores of pixels in the RGB image representing possibility of the pixels being located in a ground plane; determining normal directions of pixels in the depth image; determining the ground plane based on the scores and the normal directions; projecting the pixels in the depth images to the ground plane; and generating and updating the 2D grid cell map by defining the ground plane into grid cells and attributing a color descriptor to each grid cell. The color descriptor of each grid cell is calculated based on the projected pixels within that grid cell.

Abstract: Adaptive focus sweep (AFS) techniques for image processing are described. For one technique, an AFS logic/module can obtain an AFS representing a scene, where the AFS is a sequence of images representing the scene that includes: (i) a first image representing the scene captured at a first focus position; and (ii) a second image representing the scene captured at a second focus position that differs from the first focus position. The first focus position can be associated with a first depth of field (DOField) that is determined based on an autofocus technique. The second focus position can be associated with a second DOField, where the second focus position is at least two DOFields away from the first focus position. The AFS logic/module can detect a foreground of the scene in the first image based on information acquired from the first and second images. Other embodiments are described.

Abstract: An image processing apparatus that is capable of converting an original color image into a monochrome image to which color scheme intention of the original color image is reflected appropriately. An extraction unit extracts colors used for characters and figures in color data. A first determination unit determines one of the colors as a base color. A second determination unit determines another of the colors as an accent color. An application unit converts the color data into monochrome data by applying a predetermined gray to the base color determined and applying a gray that is distinguishable from the predetermined gray and has a density higher than the predetermined gray to the accent color.

Abstract: In embodiments of the present invention improved capabilities are described for producing background separated product images for print and on-line display. An image formation system provides lighting of a product to facilitate acquiring images that can be automatically processed to generate high resolution item-only images free of quality defects and imaging artifacts. Image processing programs accurately detect an outline of an item in a set of digital images taken using the image formation system and automatically store processed images in an image library. The images in the library may be repurposed for print, sales display, transmission to a user, on-line customer support, and the like. A user display configured with an adaptable user interface facilitates user interaction with images in the library.

Abstract: Aspects of the present invention provide an approach for controlling an operation of a video capture device (e.g., in a cognitive robotic device). In an embodiment, a set of conditions is obtained using a cognitive computer system. Each of the obtained conditions includes a specific individual and a potential action that may be performed by the individual. The cognitive computer system analyzes video being captured by the video capture device to determine whether the video satisfies any of the set of conditions (e.g., the individual in the video is performing the action). If the cognitive computer system determines that one of the set of conditions has been satisfied, the operation of the video capture device (e.g., capture rate of the video) is modified to account for the satisfied condition.

Abstract: Systems and methods of improving segmentation and classification in multi-channel images of biological specimens are described herein. Image channels may be arranged and processed sequentially, with the first image channel being processed from an unmodified image, and subsequent images processed from attenuated images that remove features of previous segmentations. For each segmented image channel in sequence, a binary image mask of the image channel may be created. A distance transform image may be computed from the binary mask. Attenuation images computed for all previous channels may be combined with a current attenuation image to create a combined attenuation image. The next image channel in the sequence may then be attenuated to produce an attenuated next image channel, which may then be segmented. The steps can be repeated until all image channels have been segmented.

Abstract: Systems, methods, and non-transitory computer readable media for managing content items having multiple resolutions may be provided. In some embodiments, a user device may send a request to access one or more images from a content management system. The one or more images may be categorized on the user device by an expected use that determines that the one or more images be in a first version. A second version of the one or more images may be received while a background download of the first version of the one or more images may be performed. In some embodiments, the first version may correspond to a high-resolution image whereas the second version may correspond to a lower resolution image.

Abstract: A monitoring system includes an imaging device, a recording device and a monitoring device. The imaging device is configured to image a monitoring target. The recording device is configured to stores image data captured by the imaging device. The monitoring device is configured to generate a composite image data by combining the image data captured by the imaging device and an image data, having the same view angle as that of the captured image data, read out from the recording device and to generate an edge cutout rectangle image data by connecting luminance change points exceeding a predetermined threshold value, starting from a predetermined point in the composite image data.

Abstract: A method to be performed by a playback device includes determining whether the playback device has a function for converting first graphics in a second luminance range narrower than a first luminance range to second graphics in the first luminance range, when the playback device has the function, converting the first graphics to the second graphics, and displaying a video in the first luminance range with the second graphics being superimposed on the video, and when the playback device does not have the function, displaying the video with third graphics different from the second graphics being superimposed on the video.

Abstract: Techniques for converting mechanical markings on hardcopy textual content into digital annotations in a digital document file. In accordance with some embodiments, the techniques include identifying at least one block of text in a digital (scanned) image of a hardcopy document, and identifying at least one mechanical marking in the digital image of the hardcopy document. The mechanical marking, such as an underline, strike-through, highlight or circle, covers or lies adjacent to the corresponding block of text. An annotated digital document file is generated from the digital image of the hardcopy document. The annotated digital document file includes computer-executable instructions representing the original text of the hardcopy document and at least one annotation corresponding to the mechanical marking in the hardcopy document.

Abstract: An apparatus is described herein. The apparatus comprises a controller, a logarithmic tone-reproduction operator, a processor, and a compressor. The controller is to calculate a regularization term and a contrast preservation term of an objective function. The logarithmic tone-reproduction operator is to produce a reference image. The processor is to obtain a compressed luminance from the objective function as applied to the reference image. The compressor is to compress a high dynamic range (HDR) image by applying a gain term to the HDR image based on the compressed luminance.

Abstract: Techniques for dynamically highlighting text in electronic documents are provided. In a first set of embodiments, a computing device can, upon presenting an electronic document to a user, receive a user selection of an entity associated with the document. The entity can represent a category of terms deemed relevant to the electronic document, where a term is a word or a combination of word(s) and/or punctuation(s) that have semantic significance. In response, the computing device can automatically highlight terms in the presented document that belong to the selected entity. In a second set of embodiments, the computing device can, upon presenting the electronic document to the user, receive a user selection of a word in the document. In response, the computing device can automatically highlight terms in the presented document that include the selected word, as well as other terms that are related to those terms.

Abstract: A segmentation system and method include defining (14) a search region by selecting two locations in an image of a structure to be segmented and sampling the search region to provide an unwrapped image. The unwrapped image is edge filtered (20) to determine likely boundary pixels in the image. A directed graph is constructed (22) for the unwrapped image by determining nodes of the graph by computing (24) a lowest cost between boundary pixels. A potential segmentation is generated (26) for user approval using live images. In accordance with a trace by the user, nodes are connected (32) for a final segmentation of the image of the structure to be segmented.

Abstract: There is provided systems and methods for laser scanning of one or more surfaces; in a particular embodiment, laser scanning of concrete. The system includes: at least one laser scanning module for acquiring imaging data comprising one or more distance measurements between the laser scanning module and each of the surfaces, according to a laser scanning modality; and a computing module, including one or more processors, in communication with the laser scanning module, for: aggregating the imaging data; processing and denoising the imaging data; and determining the presence or absence of a condition on each of the surfaces based on the imaging data.

Abstract: Disclosed are a method and apparatus for fully automatically segmenting a joint based on a patient-specific optimal thresholding method and a watershed algorithm. The method of fully automatically segmenting an image may include the steps of extracting region information corresponding to a target object to be segmented from a medical image of the target object by associating a thresholding method and a load path algorithm, generating a first mask MASK 1 based on the extracted region information, generating a morphological patch by performing morphological subdivision on the medical image based on a watershed algorithm, generating a second mask MASK 2 based on the generated morphological patch, and segmenting an image corresponding to the target object from the medical image based on the first mask and the second mask.

Abstract: Embodiments of the present invention are directed to optimizing image cropping. In accordance with some embodiments of the present invention, an image and an indication of an area of interest within the image are obtained. Thereafter, an amount to scale the image is determined based on a size of a container into which the image is to be placed for display. The amount to scale the image is greater for containers of a smaller size to focus on the area of interest within the image than the amount to scale the image for containers of a larger size. The image can be scaled in accordance with the determined amount to scale the image, and thereafter cropped to fit within the boundaries of the container.

Abstract: A method of processing a wide angle image including receiving an original image captured by a wide angle camera, receiving a user input selecting a plurality of regions of interest (ROIs) from the original image, generating in parallel a plurality of dewarping maps corresponding to the plurality of ROIs, and rendering in parallel a plurality of corrected images by correcting distortion of the plurality of ROIs based on the plurality of dewarping maps. Apparatus for carrying out the processing method also is disclosed.

Abstract: An information processing device, a communication system, and a recording medium storing a plurality of instructions. The information processing device and a method caused by the instructions includes generating a second document file from a first document file including data of a plurality of pages, where data of each page in the plurality of pages is arranged in page order and identification information for identifying a boundary of data of each page is included, and transmitting the second document file to an image forming apparatus. The communication system includes the information processing device and the image forming apparatus.

Abstract: The present invention relates to a mobile terminal which can be implemented by allowing a user to use the terminal more conveniently, and a method for controlling the same. The present invention may comprise a camera, a display, and a control unit which enlarges a partial region of an original image photographed by the camera at a predetermined magnification and displays the original image and the enlarged image simultaneously on the display, wherein the control unit, upon receiving a magnification photographing input from a user input unit, can activate the camera for photographing, enlarge a partial region of the original image photographed by the camera at a predetermined magnification and display the original image and the enlarged image simultaneously on the display.

Abstract: Techniques are described for generating a distance map (e.g., a map of disparity, depth or other distance values) for image elements (e.g., pixels) of an image capture device. The distance map is generated based on an initial distance map (obtained, e.g., using a block or code matching algorithm) and a segmentation map (obtained using a segmentation algorithm). In some instances, the resulting distance map can be less sparse than the initial distance map, can contain more accurate distance values, and can be sufficiently fast for real-time or near real-time applications. The resulting distance map can be converted, for example, to a color-coded distance map of a scene that is presented on a display device.

Abstract: Video foreground and background detection is performed on a received video sequence on a macroblock by macroblock basis using motion vector encoding information associated with each macroblock. Some of the macroblocks in each frame, for example, edge or corner macroblocks, may be exempt from the foreground and background detection. The detection information, along with the video data, is passed to an image stabilization algorithm that prepares the video for subsequent video compression.

Abstract: Systems and methods for encoding and decoding video data are disclosed. The method can include signaling in syntax information a picture parameter set (PPS) indicating a first tile size partition. The method can also include storing a plurality of tile size partitions and associated PPS identifiers (PPSID) in a database. If a second tile size partition for a second frame of video data is the same as a tile size partition stored in the database, the method can include signaling the PPSID for the corresponding tile size partition. If the second tile size partition is not the same as a tile size partition stored in the database, the method can include signaling a new PPS with the second tile size partition. The system can provide an encoder and a decoder for processing the video data encoded by the method for encoding video data.