Abstract: A picture with multiple slices is encoded by generating a coded slice representation for each of the slices. A slice flag is set to a first value for the first slice in the picture and corresponding slice flags of the remaining slices are set to a second defined value. A respective slice address is generated for each remaining slice to enable identification of the slice start position within the picture for the slice. A coded picture representation of the picture comprises the coded slice representations, the slice addresses and the slice flags. The slice flags enable differentiation between slices for which slice addresses are required and the slice per picture for which no slice address is needed to identify its slice start position.

Abstract: An approach is provided for generating multi-channel video. A media platform segments a plurality of media items into one or more media segments based on a plurality of viewpoints of at least one event. The media platform then generates a plurality of media channels for respective one or more plurality of viewpoints. The plurality of media channels compiles the one or more media segments that depict the respective one or more of the plurality of viewpoints. The media platform then compiles the plurality of media channels into a multi-channel media item.

Abstract: A display method includes the following steps: generating a first depth map and an edge map according to a color image; determining a first depth value of a first pixel and a second depth value of a second pixel of an edge region of the first depth map according to the edge map, in which the first pixel and the second pixel are arranged in a horizontal direction; adjusting N depth values of N pixels adjacent to the edge region of the first depth map according to a zero parallax setting reference level to generate a second depth map, where N is a positive integer, and the N pixels include at least one of the first pixel and the second pixel; and generating multiple-view images according to the second depth map and the color image to display a 3D image.

Abstract: In one example, a device includes a video coder configured to code a multilayer bitstream comprising a plurality of layers of video data, where the plurality of layers of video data are associated with a plurality of layer sets, and where each layer set contains one or more layers of video data of the plurality of layers, and to code on one or more syntax elements of the bitstream indicating one or more output operation points, where each output operation point is associated with a layer set of the plurality of layer sets and one or more target output layers of the plurality of layers.

Abstract: Techniques and systems are provided for encoding and decoding video data. For example, a method of encoding video data includes generating an encoded video bitstream comprising multiple layers. The encoded video bitstream includes a video parameter set defining parameters of the encoded video bitstream. The video parameter set includes video usability information. The method further includes determining whether timing information is signaled in the video usability information of the video parameter set. The method further includes determining whether to signal hypothetical reference decoder parameters in the video usability information of the video parameter set based on whether timing information is signaled in the video usability information.

Abstract: An apparatus for processing 3-Dimensional (3D) broadcast signals, comprises: a tuner for receiving broadcast signals containing 3D content; a service information processor for parsing target viewing information and at least one reference viewing condition information received from the broadcast signals which are received; a viewing analysis module for receiving viewing condition information of the viewer, parsing compensation-type information that is included in the reference viewing condition information, which contains information that is most relevant to the viewing condition information that is received, and for rendering the 3D content so that an element expressed by the correction-type information is maintained; and an output formatter for controlling so that the 3D content that is rendered is displayed.

Abstract: The present disclosure describes systems and methods for producing panoramic images. The systems and methods may include storing a first image in a memory device, overlapping a plurality of sections of the stored first image over corresponding portions of a second image such that the second image is visible between adjacent pairs of the plurality of sections in response to the plurality of sections and the second image being displayed on a display device, and aligning at least one of the plurality of sections of the first image with at least a portion of the second image prior to storing the second image.

Abstract: An image processing system, method and device for processing an image signal. The image processing system, method and device receive an operating mode signal indicative of a determined operating mode associated with resource efficiency, and control a depth of block division for a block setting process based on the determined operating mode indicated by the operating mode signal.

Abstract: Systems and methods are provided for alleviating bandwidth limitations of video transmission and enhancing the quality of videos at a receiver. In particular, an improved video transmission system is provided for generating high-resolution videos. The systems have therein a transmitter and a receiver; the transmitter includes an outer encoder and a core encoder, while the receiver includes a core decoder and an outer decoder. The outer encoder is adapted to receive the video from a source and separately output a salient video and an encoded background, and the outer decoder is adapted to merge the background with the salient video thereby producing an enhanced video. Also provided is a system that simulates pan-tilt-zoom (PTZ) operations without PTZ hardware. Further provided are methods for video transmission whereby a background model is initialized, a background independently encoded, updated incrementally, and the background and the updates transmitted independently from the video.

Abstract: A track data determination system including: a video camera device positioned on a vehicle to capture video data in at least one field-of-view; a geographic positioning unit associated with the vehicle to generate position data and time data; a recording device to store at least one of the following: at least a portion of the video data, at least a portion of the position data, at least a portion of the time data, or any combination thereof; and a controller to: (i) receive the video data, the position data, and/or the time data; and (ii) determine track data based at least in part upon the video data, the position data, and/or the time data. A computer-implemented track data determination method is also disclosed.

Abstract: An operation input device includes an infrared irradiation unit radiates infrared, a capturing unit detects the infrared to capture an image, an luminance calculating unit calculates, in a captured image, a luminance difference between a luminance of a first area irradiated with the infrared by the infrared irradiation unit and a luminance of a second area arranged outside the first area, an infrared control unit adjusts an irradiation intensity of the infrared to be radiated from the infrared irradiation unit so that the luminance difference calculated by the luminance calculating unit becomes a predetermined target value, an image processing unit detects a shape of an indication object from the captured image, a determination unit determines an operation by the indication object from the shape detected by the image processing unit, and a command unit makes a device to be operated perform a function corresponding to the determined operation determined.

Abstract: A video decoder architecture for processing out-of-order macro-blocks of a video stream. A microcode engine receives compressed data representing macro-blocks of a frame of a video stream, wherein at least one macro-block is received out-of-order. The microcode engine is for buffering the compressed data and for ordering the macro-blocks of the frame in raster scan order. A digital video decoder receives the macro-blocks in raster scan order and is for decoding the macro-blocks.

Abstract: An image processing system, and a method of operation thereof, includes: an edge motion generation unit for detecting edges in a first image frame and a second image frame stored by a storage device or a memory and for generating edge motion vectors between the first image frame and the second image frame based on the edges; a motion vector list generation unit for extracting dominant motion vectors from a group of the edge motion vectors and for generating a motion vector list based on the dominant motion vectors; an image segmentation unit for generating a segmentation of the first image frame; an initial motion generation unit for generating initial motion vectors based on the segmentation and the motion vector list; and a smooth motion generation unit for generating smooth motion vectors based on the initial motion vectors and for generating a dense optical flow field by combining the smooth motion vectors.

Abstract: Methods and apparatus are provided for deblocking filtering on non-local intra prediction. An apparatus includes an encoder for encoding picture data using non-local intra prediction. The encoder includes a deblocking filter configured for use with non-local intra prediction modes so as to deblock filter at least a portion of the picture data encoded using the non-local intra prediction.

Abstract: A traffic signal recognition apparatus acquires image data by imaging the surroundings of a vehicle, detects a self-position of the vehicle, and detects, in the image, a traffic signal around the vehicle. The traffic signal recognition apparatus identifies two or more of the traffic signal predicted to be captured in the image, based on information on the self-position and map information containing positional information on the traffic signals, and assigns a priority level to each of the two or more traffic signals thus identified, based on a possibility of the traffic signal being blocked out of sight. When the two or more traffic signals are identified, the traffic signal detected in the image is a traffic signal with a highest priority level among the two or more traffic signals.

Abstract: A method for light-microscopy imaging of a sample structure (2, 34) is described, having the following steps: preparing the sample structure (2, 34) with markers that are transferrable into a state imageable by light microscopy, generating a sequence of individual-image data sets by sequential imaging of the sample structure (2, 34), in such a way that for each image, only a subset of the totality of the markers is in each case transferred into the state imageable by light microscopy, the markers of the respective subset having an average spacing from one another which is greater than the resolution limit of light-microscopy imaging which determines the extent of a light distribution representing one of the respectively imaged markers, generating at least two data blocks in which multiple successive individual-image data sets are respectively combined, superposing the individual-image data sets contained in the respective data block to yield a superposed-image data set, identifying an image offset between

Abstract: Super-transform coding may include identifying a plurality of sub-blocks for prediction coding a current block, determining whether to encode the current block using a super-transform, and super-prediction coding the current block. Super-prediction coding may include generating a super-prediction block for the current block by generating a prediction block for each unpartitioned sub-block of the current block, generating a super-prediction block for each partitioned sub-block of the current block by super-prediction coding the sub-block, and including the prediction blocks and super-prediction blocks for the sub-blocks in a super-prediction block for the current block. Including the prediction blocks and super-prediction blocks for the sub-blocks in a super-prediction block for the current block may include filtering at least a portion of each prediction block and each super-prediction block based on a spatially adjacent prediction block.

Abstract: An image processing device includes: a division unit that divides each picture of image data into multiple arrangements; multiple coding units, each of which codes the pictures in the mutually-different arrangements that result from the division by the division unit; and a composition unit that composites streams in the arrangements, which are obtained by each of the multiple coding units coding each picture, in which when coding a current picture, the coding unit performs inter-prediction using a first global motion vector (GMV) that is derived from motion information on a portion whose processing is finished, of a picture that precedes the current picture in the image data that is present before being divided by the division unit and whose processing is in progress in a different coding unit.

Abstract: An apparatus configured to filter video information according to certain aspects includes a memory unit and a processor in communication with the memory unit. The memory unit stores video information comprising at least two adjacent video blocks, each video block comprising a plurality of video samples, and each video sample having a bit depth. The processor determines a filtered video sample based at least in part on a video sample and an adjustment value. The processor determines the adjustment value at least in part from an input with a limited bit depth. The input is determined from a set of one or more video samples, and its bit depth is limited such that it is less than the bit depth of the one or more video samples.

Abstract: A method for calibrating a three dimensional time-of-flight camera system mounted on a device, includes determining at a first instant a direction vector relating to an object; determining an expected direction vector and expected angle for the object to be measured at a second instant with reference to the device's assumed trajectory and optical axis of the camera; determining a current direction vector and current angle at the second instant; determining an error represented by a difference between the current direction vector and the expected direction vector; and using the error to correct the assumed direction of the main optical axis of the camera system such that said error is substantially eliminated.