103results about How to "Improve codec performance" patented technology

Methods and apparatus for coding a 360-degree VR image sequence are disclosed. According to one method, input data associated with a current image in the 360-degree VR image sequence are received andalso a target reference picture associated with the current image is received. An alternative reference picture is then generated by extending pixels from spherical neighboring pixels of one or more boundaries related to the target reference picture. A list of reference pictures including the alternative reference picture is provided for encoding or decoding the current image. When motion estimation is applied to projected 2D plane, availability of the reference is improved, and coding performance related to the projected 2D plane is improved.

Speech signal classification and encoding systems and methods are disclosed herein. The signal classification is done in three steps each of them discriminating a specific signal class. First, a voice activity detector (VAD) discriminates between active and inactive speech frames. If an inactive speech frame is detected (background noise signal) then the classification chain ends and the frame is encoded with comfort noise generation (CNG). If an active speech frame is detected, the frame is subjected to a second classifier dedicated to discriminate unvoiced frames. If the classifier classifies the frame as unvoiced speech signal, the classification chain ends, and the frame is encoded using a coding method optimized for unvoiced signals. Otherwise, the speech frame is passed through to the “stable voiced” classification module. If the frame is classified as stable voiced frame, then the frame is encoded using a coding method optimized for stable voiced signals. Otherwise, the frame is likely to contain a non-stationary speech segment such as a voiced onset or rapidly evolving voiced speech signal. In this case a general-purpose speech coder is used at a high bit rate for sustaining good subjective quality.

According to embodiments, point cloud data transmission method may include encoding point cloud data, encapsulating a bitstream that includes the encoded point cloud data and signaling data into a file, and transmitting the file, the bitstream is stored either in a single track or in multiple tracks of the file, the signaling data include at least one parameter set, and the encoded point cloud data include a geometry bitstream containing geometry data and an attribute bitstream containing attribute data.

The invention provides a point cloud encoding and decoding method, an encoding device and a decoding device. The method comprises the steps of determining a point set composed of K nearest neighbor points of a current point; determining a point set composed of L secondary neighbor points of the current point; determining a preferred neighbor point set of the current point according to a point setcomposed of K nearest neighbor points of the current point and a point set composed of L secondary neighbor points of the current point; and performing coding processing according to the preferred neighbor point set of the current point. Therefore, the point cloud coding performance can be improved by selecting the properly distributed neighbor point set.

A method of encoding and decoding using an LDPC code is disclosed, by which encoding and decoding performance can be enhanced and which can be effectively applied to a communication system employing a variable data rate. In encoding or decoding an input data using a parity check matrix H, the present invention is characterized in that the parity check matrix H has a configuration of H=[HdI Hp] (H is (n−k)×n dimensional, k is a bit number of the input data, and n is a bit number of a codeword), wherein the parity check matrix H includes a first part having a column weight of wc and a second part having a column weight of Wc+Wa (Wa / Wc≠0).

An encoding apparatus is provided. The encoding apparatus includes: a low density parity check (LDPC) encoder configured to generate an LDPC codeword formed of 16200 bits by performing LDPC encoding based on a parity check matrix, wherein the parity check matrix includes an information word sub-matrix and a parity sub-matrix, the information word sub-matrix being formed of a plurality of column groups each including 360 columns and being defined as a table indicating a position of one (1) present in each 360-th column.