Residual frame

About: Residual frame is a research topic. Over the lifetime, 4443 publications have been published within this topic receiving 68784 citations.

Coding independent frames of ambient higher-order ambisonic coefficients

Abstract: In general, techniques are described for coding an ambient higher order ambisonic coefficient. An audio decoding device comprising a memory and a processor may perform the techniques. The memory may store a first frame of a bitstream and a second frame of the bitstream. The processor may obtain, from the first frame, one or more bits indicative of whether the first frame is an independent frame that includes additional reference information to enable the first frame to be decoded without reference to the second frame. The processor may further obtain, in response to the one or more bits indicating that the first frame is not an independent frame, prediction information for first channel side information data of a transport channel. The prediction information may be used to decode the first channel side information data of the transport channel with reference to second channel side information data of the transport channel.

Streaming multiple encodings encoded using different encoding parameters

Abstract: A system for streaming multiple encodings of a source video stream is disclosed. A source video device system captures and/or receives source video comprising a plurality of source video frames. The source video device system encodes the source video frames into virtual frames, with each of the virtual frames being encoded using at least one different encoding parameter. The source video device system forms a container frame from the virtual frames and transmits the container frame over a network. In an example embodiment, the container frame comprises the virtual frames associated with a particular source frame and a container timestamp applicable to all of the virtual frames in the container frame.

Allocation of available bits to represent different portions of video frames captured in a sequence

Abstract: A technique of encoding video frames allocates an available number of bits to different portions of the video frame. A processing unit identifies a region of interest (ROI) in a video frame, and computes a first and second complexity parameter respectively representing the change in video information in the ROI portions and non-ROI portions in the video frame relative to a reference frame. Bits are allocated to the ROI portion proportional (positive correlation) to the first complexity parameter and a ratio of the area of the ROI to the area of the frame. The remaining available bits are allocated to the non-ROI. In an embodiment, the bits are encoded according to H.264 standard.

Device, system, and method for predicting residual data for intra and inter frame encoding of image or video data

Abstract: A system, processor, and method are provided for encoding a data block, for example, of digital data. A processor may, from among a plurality of intra frame encoding modes each having a different direction for extrapolating already encoded pixels adjacent to the block, select an intra coding mode having a direction that most closely matches a direction of minimum pixel value change of the block. The processor may compute a predicted intra frame encoding residual data for the block associated with the selected mode based on the difference between the direction of the selected intra frame encoding mode and the direction of minimum pixel value change of the block. The processor may compute inter frame encoding residual data and compare the intra and inter frame encoding residual data. The processor may compress the data block using the intra or inter frame encoding having the smaller residual data.

Object tracking method

Abstract: An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.