National Yang Ming Chiao Tung University

Hsueh-Ming Hang

Chung-Neng Wang

Hsiang-Chun Huang

Tihao Chiang

Wen-Hsiang Tsai

Chun-Chi Chen

Wen-Hsiao Peng

Yu-Lun Liu

Ti-Hao Chiang

Ru-Ling Liao

Cheng-Han Yang

A video encoding method is provided in the invention. In such method, after a current encoding frame among a sequence of input frames is received, each coding unit in the current encoding frame may be optionally split into two oblong prediction units, and each of the prediction units may be optionally split into a plurality of sub-blocks so as to thereby improve the matching accuracy for a matching reference block from a reference frame. A video decoding method corresponding to the aforesaid video encoding method is also provided.

Method for encoding/decoding video by oblong intra prediction

A backward depth mapping method for stereoscopic image synthesis includes: providing a first coordinate and a first depth value of a pixel of a virtual view in a stereoscopic image; calculating a second coordinate and a second depth value of a pixel of reference view, which is obtained by mapping the virtual view, based on the first coordinate and the first depth value of the pixel of the virtual view; calculating an error value corresponding to the first depth value based on the second coordinate and second depth value; and determining a third depth value of the pixel of the virtual view based on the error value. As a result, it is possible to avoid the virtual view producing a crack and the pixel of the background from appearing at the crack of the foreground.

Backward depth mapping method for stereoscopic image synthesis

A fast bit allocation algorithm for audio coding is disclosed. A virtual Huffman codebook model is referred in a trellis-based optimization approach to obtain a set of optimized scale factors, and then the set of optimized scale factors is referred in a trellis-based optimization approach to obtain a set of optimized Huffman codebooks. Therefore, the present invention can significantly reduce the amount of computation for the bit allocation. Further, according to the experimental data, the present invention can keep almost the same compression efficiency as the prior art JTB optimization. Hence, the present invention is more suitable for practical applications.

Fast bit allocation method for audio coding

A robust fine granularity scalability video encoding includes a base layer encoder and an enhancement layer encoder in which motion compensated difference images are generated by comparing an original image to predicted images at base layer and enhancement layer with motion compensation. Based on leaky and partial predictions, a high quality reference image is constructed at the enhancement layer to improve temporal prediction. In the construction of the high quality reference image, one parameter &#x3b2; controls the number of bitplanes of the enhancement layer difference coefficients used and another parameter &#x3b1; controls the amount of predictive leak. A spatial scalability module allows the processed pictures at the base layer and the enhancement layer to have identical or different spatial resolutions.

Architecture and method for fine granularity scalable video coding

Growing community of inventors

Hsinchu, Taiwan

Hsueh-Ming Hang