Abstract:
A method and apparatus or video coding or processing for an image sequence corresponding to virtual reality (VR) video are disclosed. According to embodiments of the present invention, a padded area outside one cubic face frame boundary of one cubic face frame is padded to form a padded cubic face frame using one or more extended cubic faces, where at least one boundary cubic face in said one cubic face frame has one padded area using pixel data derived from one extended cubic face in a same cubic face frame.
Abstract:
Methods and apparatus of processing cube face images are disclosed. According to embodiments of the present invention, one or more discontinuous boundaries within each assembled cubic frame are determined and used for selective filtering, where the filtering process is skipped at said one or more discontinuous boundaries within each assembled cubic frame when the filtering process is enabled. Furthermore, the filtering process is applied to one or more continuous areas in each assembled cubic frame.
Abstract:
A method and system for encoding a group of coding blocks and packetizing the compressed data into slices/packets with hard-limited packet size are disclosed. According to the present invention, a packetization map for at least a portion of a current picture is determined. The packetization map associates coding blocks in at least a portion of the current picture with one or more packets by identifying a corresponding group of coding blocks for each packet of said one or more packets. The corresponding group of coding blocks for each packet is then encoded according to the packetization map and the size of each packet is determined. The packet size is checked. If any packet size exceeds a constrained size, a new packetization map is generated and the corresponding group of coding blocks for each packet is encoded according to the new packetization map.
Abstract:
A method and apparatus of video encoding or decoding for a video encoding or decoding system applied to multi-face sequences corresponding to a 360-degree virtual reality sequence are disclosed. According to embodiments of the present invention, at least one face sequence of the multi-face sequences is encoded or decoded using face-independent coding, where the face-independent coding encodes or decodes a target face sequence using prediction reference data derived from previous coded data of the target face sequence only. Furthermore, one or more syntax elements can be signaled in a video bitstream at an encoder side or parsed from the video bitstream at a decoder side, where the syntax elements indicate first information associated with a total number of faces in the multi-face sequences, second information associated with a face index for each face-independent coded face sequence, or both the first information and the second information.
Abstract:
A hybrid video encoding method and system using a software engine and a hardware engine. The software engine receives coding unit data associated with a current picture, and performs a first part of the video encoding operation by executing instructions. The first part of the video encoding operation generates an inter predictor and control information corresponding to the coding unit data of the current picture. The first part of the video encoding operation stores the inter predictor into an off-chip memory. The hardware engine performs a second part of the video encoding operation according to the control information. The second part of the video encoding operation receives the inter predictor, and subtracts the inter predictor from the coding unit data to generate a residual signal. The second part of the video encoding operation then transforms and quantizes the residual signal to generate transformed and quantized residual signal, and encodes the transformed and quantized residual signal to generate an encoded video bitstream.
Abstract:
Methods and apparatus of processing cube face images are disclosed. According to embodiments of the present invention, one or more discontinuous boundaries within each assembled cubic frame are determined and used for selective filtering, where the filtering process is skipped at said one or more discontinuous boundaries within each assembled cubic frame when the filtering process is enabled. Furthermore, the filtering process is applied to one or more continuous areas in each assembled cubic frame.
Abstract:
A method and apparatus of video encoding or decoding for a video encoding or decoding system applied to multi-face sequences corresponding to a 360-degree virtual reality sequence are disclosed. According the present invention, one or more multi-face sequences representing the 360-degree virtual reality sequence are derived. If Inter prediction is selected for a current block in a current face, one virtual reference frame is derived for each face of said one or more multi-face sequences by assigning one target reference face to a center of said one virtual reference frame and connecting neighboring faces of said one target reference face to said one target reference face at boundaries of said one target reference face. Then, the current block in the current face is encoded or decoded using a current virtual reference frame derived for the current face to derive an Inter predictor for the current block.
Abstract:
A method and apparatus for transcoding a compressed bitstream are disclosed. The system receives a first compressed bitstream generated by applying first entropy encoding to a set of tokens. The first compressed bitstream is decoded into the set of tokens using first entropy decoding corresponding to the first entropy encoding. The set of tokens is then re-encoded into a second compressed bitstream using second entropy encoding, where the second entropy encoding and the first entropy encoding use different statistics, different initial states, or both. The system may further comprising determining one or more modified or optimal probability models associated with the set of tokens, where the second entropy encoding is based on the modified or optimal probability models.