Abstract: An optical transceiving module is provided, including a housing, a circuit board, a bidirectional optical interface, a circulator assembly, an optical transmission assembly, a wavelength division multiplexing assembly, an optical reception assembly and a wavelength division demultiplexing assembly that are disposed in the housing. The optical transmission assembly and the optical reception assembly are electrically connected to the circuit board. The bidirectional optical interface is used for the transmission of combined optical signals. The circulator assembly includes a public optical port, an optical egress port, and an optical ingress port. The optical transmission assembly transmits at least eight transmission-end optical signals. The wavelength division multiplexing assembly combines at least eight transmission-end optical signals, and transmits combined optical signal to the optical ingress port. The wavelength division demultiplexing assembly is to demultiplex the combined optical signal.

Abstract: Systems and methods are provided for implementing inter-coded resolution-adaptive video coding supported by resizing motion information of a current frame during motion prediction, reducing extensive computational costs and computing time that would be incurred as a result of extensive application of interpolation filters to generate picture information of a reference frame to sub-pixel granularity, and thus reducing computational cost and computing time of decoding as a whole.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: Systems and methods are provided for implementing inter-coded resolution-adaptive video coding supported by resizing motion information of a current frame during motion prediction, reducing extensive computational costs and computing time that would be incurred as a result of extensive application of interpolation filters to generate picture information of a reference frame to sub-pixel granularity, and thus reducing computational cost and computing time of decoding as a whole.

Abstract: A computer-implemented method for quality measurement for videoconferencing may include (i) measuring the interaction levels of a plurality of video conference attendees in a group video conference, (ii) designating, based at least in part on the interaction levels, a current dominant speaker in the group video conference, (iii) calculating a video conference quality level for the current dominant speaker in the group video conference, and (iv) providing the video conference quality level for the current dominant speaker as the video conference quality level for the group video conference. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: Systems and methods are provided for implementing methods for resolution-adaptive video coding in a motion prediction coding format by obtaining a current frame of a bitstream, obtaining one or more reference pictures from a reference frame buffer, determining the obtained reference pictures that have resolutions different from a resolution of the current frame, translating an inter predictor of the one or more reference pictures, and generating a reconstructed frame from the current frame based on the one or more reference pictures and motion information of one or more blocks of the current frame, the motion information including at least one inter predictor, thereby achieving substantial reduction of network transport costs in video coding and delivery without requiring the transport of additional data that would offset or compromise these savings.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: A method and apparatus of video coding incorporating Deep Neural Network are disclosed. A target signal is processed using DNN (Deep Neural Network), where the target signal provided to DNN input corresponds to the reconstructed residual, output from the prediction process, the reconstruction process, one or more filtering processes, or a combination of them. The output data from DNN output is provided for the encoding process or the decoding process. The DNN can be used to restore pixel values of the target signal or to predict a sign of one or more residual pixels between the target signal and an original signal. An absolute value of one or more residual pixels can be signalled in the video bitstream and used with the sign to reduce residual error of the target signal.

Abstract: A method includes optimizing a video quality of a video data stream received by a user in a video conference. A region of at least one frame of the video data stream may be sampled. The sampling rate may be variable based on the rate of change of objects in the video data stream. A video quality metric corresponding to the video quality of the video data stream may be calculated. The video quality of the video data stream may be adjusted based on the video quality metric. Another method includes retrieving a video and detecting one or more moving regions of interest (ROIs). Each of the ROIs is tagged with metadata configured to allow users to interact with the ROI, and the detected ROIs and their corresponding metadata are stored in a file. Based on the file, playback of the video and movement of the ROIs may be synchronized.

Abstract: A method of video coding with reduced implementation cost by reusing transform coefficient buffer palette for palette coding is disclosed. If the current prediction mode is an Intra prediction mode or the Inter prediction mode, information related to transform coefficients for prediction residual of the current block resulted from Intra prediction or Inter prediction is stored in the transform coefficient buffer. If the current prediction mode is the palette coding mode, information related to palette data associated with the current block is stored in the transform coefficient buffer. The current block is then encoded or decoded based on the information related to the transform coefficients if the current block is coded in the Intra prediction mode or the Inter prediction mode, or the information related to the palette data stored in the transform coefficient buffer if the current prediction mode is the palette coding mode.

Abstract: Systems and methods are provided for implementing inter-coded resolution-adaptive video coding supported by resizing motion information of a current frame during motion prediction, reducing extensive computational costs and computing time that would be incurred as a result of extensive application of interpolation filters to generate picture information of a reference frame to sub-pixel granularity, and thus reducing computational cost and computing time of decoding as a whole.

Abstract: A method and apparatus of video coding incorporating Deep Neural Network are disclosed. A target signal is processed using DNN (Deep Neural Network), where the target signal provided to DNN input corresponds to the reconstructed residual, output from the prediction process, the reconstruction process, one or more filtering processes, or a combination of them. The output data from DNN output is provided for the encoding process or the decoding process. The DNN can be used to restore pixel values of the target signal or to predict a sign of one or more residual pixels between the target signal and an original signal. An absolute value of one or more residual pixels can be signalled in the video bitstream and used with the sign to reduce residual error of the target signal.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: Improved systems and methods related to decoder-side motion vector derivation (DMVD), for example, in applying one or more constraints to motion information, such as a MV derived by DMVD, and/or a MV difference between an initial MV and an MV derived by DMVD. These techniques may be applied to any of the existing video codecs, such as HEVC (High Efficiency Video Coding), and/or may be an efficient coding tool in any future video coding standards. In one example, the block size used for DMVD can be restricted. In another example, FRUC bilateral matching can be simplified by not searching outside reference blocks indicated by the original motion vector.

Abstract: A method of palette management for palette coding in a video coding system receives input data associated with a current block in a high-level picture structure and initializes a palette predictor in the high-level picture structure before a corresponding palette of a first palette-coded block in the high-level picture structure is coded. If a palette mode is selected for the current block, the method applies the palette coding to the current block using a current palette and updates the palette predictor based on the current palette to generate an updated palette predictor for a next block coded in the palette mode.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: A client device may receive encoded data of a first video frame from a server over a network, and decode the encoded data to obtain the first frame based at least in part on one or more second frames of a second resolution that are stored in a reference frame buffer of the client device. In response to determining that the first resolution is lower than the second resolution, the client device may or may not resize the first frame from the first resolution to the second resolution and store the first frame of the first resolution and/or the resized first frame of the second resolution in the reference frame buffer, depending on which coding design that the client device employs. The client device may display the reconstructed frame to a user.

Abstract: A method and apparatus of video coding incorporating Deep Neural Network are disclosed. A target signal is processed using DNN (Deep Neural Network), where the target signal provided to DNN input corresponds to the reconstructed residual, output from the prediction process, the reconstruction process, one or more filtering processes, or a combination of them. The output data from DNN output is provided for the encoding process or the decoding process. The DNN can be used to restore pixel values of the target signal or to predict a sign of one or more residual pixels between the target signal and an original signal. An absolute value of one or more residual pixels can be signalled in the video bitstream and used with the sign to reduce residual error of the target signal.

Abstract: A method and apparatus for palette coding of a block of video data using a candidate prediction mode list with syntax redundancy removed are disclosed. In one embodiment, whether a redundant prediction mode exists in the candidate prediction mode list for the current samples of the current block is determined based on the candidate prediction mode list and the previous prediction mode associated with the previous samples. If the redundant prediction mode exists in the candidate prediction mode list, the redundant prediction mode is removed from the candidate prediction mode list to generate a reduced candidate prediction mode list. In another embodiment, whether a redundant predictor exists in a candidate predictor list for a current sample of the current block is determined based on a condition related to one or more predictors for the current sample of the current block.