Abstract: Detection of scaling of compressed videos or images is provided. A frequency domain transformation is applied along both horizontal and vertical directions of input video or images to generate frequency domain data. Statistics in the frequency domain data are computed for each of the horizontal and vertical directions to extract features. The features are modeled to scores along each of the horizontal and vertical directions. An original resolution of the input video or images in the horizontal and vertical directions is identified according to the scores.

Abstract: A video encoder for encoding a video into a data stream using motion compensated prediction for inter predicted blocks, comprising a hypothesis number control, configured to control a number of prediction hypotheses of the inter predicted blocks within a predetermined portion of the video to meet a predetermined criterion.

Abstract: Systems, methods and apparatus for processing visual media data are described. One example method includes performing a conversion between visual media data and a visual media file that includes one or more tracks that store one or more bitstreams of the visual media data according to a format rule; wherein the visual media file includes a base track that references one or more subpicture tracks that store coded information for one or more subpictures of the visual media data, and wherein the format rule specifies a process used to reconstruct a video unit from a sample in the base track and the one or more subpicture tracks.

Abstract: A camera array for a mediated-reality system includes a plurality of hexagonal cells arranged in a honeycomb pattern in which a pair of inner cells include respective edges adjacent to each other and a pair of outer cells are separated from each other by the inner cells. A plurality of cameras are mounted within each of the plurality of hexagonal cells. The plurality of cameras include at least one camera of a first type and at least one camera of a second type. The camera of the first type may have a longer focal length than the camera of the second type.

Abstract: A system processing hardware executes a machine learning (ML) model-based video compression encoder to receive uncompressed video content and corresponding motion compensated video content, compare the uncompressed and motion compensated video content to identify an image space residual, transform the image space residual to a latent space representation of the uncompressed video content, and transform, using a trained image compression ML model, the motion compensated video content to a latent space representation of the motion compensated video content.

Abstract: An apparatus comprising circuitry configured to: obtain a three-dimensional model comprising at least one patch, at least one geometry component, at least one occupancy component, and zero or more texture components; subsample the at least one geometry component of the at least one patch of a three-dimensional object at occupied positions using a subsampling criterion; define respective search windows around the respective occupied positions; select respective salient points relative to the respective occupied positions within the respective search windows; triangulate the salient points to approximate a shape of the three-dimensional object; detect zero or more triangles that overlap with at least one unoccupied pixel; split the zero or more triangles that overlap with at least one unoccupied pixel until no triangle overlaps with the unoccupied pixels; and add zero or more additional triangles close to a border of the three-dimensional object to generate a resulting mesh signaled to a decoder.

Abstract: Provided in embodiments of the present disclosure are a media data processing method, an apparatus and a system. The method comprises: obtaining an optical signal of a sampling point by a collection device at the source end in an acquisition of media data; acquiring an optical signal intensity of the optical signal of the sampling point and a display brightness of a display device at destination end; determining an opto-electronic transfer control parameter according to the optical signal intensity of the optical signal of the sampling point and the display brightness; performing opto-electronic transfer on the optical signal of the sampling point according to the opto-electronic transfer control parameter to obtain a transferred electrical signal; and encoding the electrical signal and the opto-electronic transfer control parameter to obtain a bitstream.

Abstract: A method of image compression, including, receiving at least one unprocessed image frame, transforming a domain of the at least one unprocessed image frame to output a transformed domain dataset, block processing the transformed domain dataset to yield a blocked dataset, quantizing the blocked dataset to produce a quantized dataset and entropy encoding the quantized dataset to construct at least one compressed image frame.

Abstract: Disclosed are an image encoding/decoding method and apparatus. The method and apparatus select at least one reference pixel line from among multiple reference pixel lines and derive a predicted value of a pixel within a current block by using the value of at least one pixel within the selected reference pixel line(s). Alternatively, the method and apparatus derive an intra prediction mode of a reconstructed pixel region on the basis of a reference pixel region of at least one reconstructed pixel region, derive an intra prediction mode of a current block on the basis of the derived intra prediction mode of the reconstructed pixel region, obtain an intra prediction block of the current block by using the derived intra prediction mode, and reconstruct the current block by summing the obtained intra prediction block and a residual block of the current block.

Abstract: A decoder configuration method includes: acquiring at least two compatibility grade configurations for configuring decoding parameters of a decoder, the different compatibility grade configurations being different in priority level, decoding property and decoder compatibility; selecting one compatibility grade configuration from the compatibility grade configurations according to the priority levels from high to low; configuring the decoder according to the compatibility grade configuration; starting the decoder, and performing decoding abnormality detection processing on the decoder to obtain an abnormality detection result; and performing hardware decoding processing on a to-be-decoded video according to the compatibility grade configuration to obtain a decoding processing result based on the abnormality detection result indicating that the decoder is normal, and determining that the current compatibility grade configuration is applicable to the decoder according to the decoding processing result in respons

Abstract: A video coding mechanism is disclosed. The mechanism includes receiving a bitstream comprising a sub-picture partitioned from a picture and a sequence parameter set (SPS) comprising a sub-picture size and a sub-picture location. The SPS is parsed to obtain the sub-picture size of the sub-picture and the sub-picture location of the sub-picture. The sub-picture is decoded based on the sub-picture size and the sub-picture location to create a video sequence. The video sequence is forwarded for display.

Abstract: Several methods and systems for encoding pictures associated with video data are disclosed. In an embodiment, a method includes determining by a processing module, whether a picture is to be encoded based on at least one of a skip assessment associated with the picture and an encoding status of a pre-selected number of pictures preceding the picture in an encoding sequence. The method further includes encoding by the processing module, a plurality of rows of video data associated with the picture upon determining that the picture is to be encoded, wherein the plurality of rows are encoded based on a pre-selected maximum encoded picture size.

Abstract: This invention provides an apparatus comprising an acquisition unit which acquires information representing optical compression ratios in a horizontal direction and in a vertical direction at a time of image capturing by an image capturing unit; a transform unit which wavelet transforms the image data to generate a plurality of sub-band data; a determination unit which determines quantization parameters for transform coefficients in a plurality of sub-bands obtained by the transform unit; and an encoding unit which quantizes the transform coefficients in the sub-band data obtained by the transform unit in accordance with the quantization parameters determined by the determination unit and to encode the quantized transform coefficients, wherein the determination unit performs weighting for each sub-band based on the information representing the compression ratios acquired by the acquisition unit to determine the quantization parameters.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to an event, generate a full video stream in response to all of the video frames and generate encoded video frames. The full video stream may be recorded to a storage medium local to the apparatus. The encoded video frames may be communicated to a cloud service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the event is not detected and a second sample of the video frames selected at a second rate while the event is detected.

Abstract: A method and apparatus for decoding a video signal are disclosed. A method for decoding a video signal includes obtaining block type information of a current block, confirming a prediction mode of the current block based on the block type information, obtaining, if the prediction mode of the current block is an intra prediction mode according to the prediction mode, at least one correlation parameter information using at least one neighboring pixel of the current block, obtaining an intra prediction value of the current block using the correlation parameter information, and reconstructing the current block using the intra prediction value of the current block.

Abstract: The present invention relates to a technique for effectively processing a large amount of video data which are generated by cameras (e.g., CCTV cameras). Particularly, the present invention relates to a video processing technique of image quality compensation, in which a compensation of image quality is periodically performed by high-resolution image switching when video streams of a plurality of resolution (e.g., 4K, 1K (Full-HD)) are provided from a camera, thereby maintaining storage capacity for storing videos at the level of low-resolution video and maintaining an object identification effect in video search at the level of high-resolution video.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data is received. One or more transform cores corresponding to a transform associated with the video data are identified. The one or more transform cores include one or more of a line graph transform (LGT) and a discrete sine transform (DST) The video data is decoded based on the identified transform core. The transform cores correspond to one or more from among an 8-bit transform core and a 10-bit transform core. The transform corresponds to one or more from among a 2-point transform, a 4-point transform, an 8-point transform, and a 16-point transform.

Abstract: The present invention relates to a method and apparatus for processing a video signal, which can increase the accuracy of the motion vector prediction through motion vector scaling which takes a difference in the temporal distance between reference pictures into consideration. To this end, the present invention provides a video signal processing method and a video signal processing apparatus using the same, and the method comprises the steps of: scaling at least one neighboring partition motion vector for a motion vector prediction of the current partition; scaling the neighboring partition motion vector, which has been selected, when the reference picture of the neighboring partition motion vector is different from the reference picture of the current partition; acquiring a motion vector prediction value of the current partition using the scaled motion vector; and acquiring a motion vector of the current partition using the motion vector prediction value.

Abstract: Certain exemplary embodiments relate to entertainment systems and, more particularly, certain exemplary embodiments relate to jukebox systems that incorporate digital downloading jukebox features along with karaoke jukebox and/or photo booth features. A combined karaoke/photo booth/jukebox may enable more integrated performance-like experiences in an in-home or out-of-home location or venue. By leveraging vast audio media libraries, trusted rights-respecting network infrastructure, and on-site image/video capturing from integrated recorders and/or remote portable devices, a more sociable experience may be created for karaoke jukebox patrons, e.g., where custom content can be generated and shared in a safe and legally appropriate manner.

Abstract: Given that decoder side motion vector refinement/derivation is a normative aspect of a coding system, the encoder will also have to perform the same error surface technique in order to not have any drift between the encoder's reconstruction and the decoder's reconstruction. Hence, all aspects of all embodiments are applicable to both encoding and decoding systems. In template matching, the refinement movement occurs only in the reference starting from the sub-pixel accurate center that is derived based on the explicitly signaled merge index or implicitly through cost evaluations. In bilateral matching (with or without averaged template), the refinements start in the reference lists L0 and L1 starting from the respective sub-pixel accurate centers that are derived based on the explicitly signaled merge index or implicitly through cost evaluations.