Title :
A Novel Hybrid VQ Based Algorithm for Video Encoding
Author :
Meihua Gu ; Ningmei Yu ; Yaolin Zhu ; Lei Zhu
Author_Institution :
Dept. of Electron. Eng., Xi´an Univ. of Technol., Xi´an, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
This paper presents a novel video encoding algorithm using the technique of Hybrid Vector Quantization (HVQ). Two modes of operations are defined in the encoder part, i.e. intra-mode and inter-mode. A blended algorithm based on Mean Coding and Conventional VQ (MCCVQ) using an intra-codebook is adopted for the intra-mode of operation. In the inter-mode of operation, no-encode sub-mode is for static block, and encode sub-mode is for motion block. There are two techniques for the encode sub-mode, one is based on the technique of the hybrid Conventional VQ (HCVQ) method, the other is based on the technique of the Hybrid Residual VQ (HRVQ). The most prominent characteristic of this HVQ based encoder is the high performance with simple structure, which is conductive to hardware implementation. Experimental results indicate that the HVQ based algorithm is feasible for the head-shoulder sequence coding in the application of video telephony applications.
Keywords :
vectors; video coding; blended algorithm; hybrid vector quantization; inter-mode; intra-codebook; intra-mode; mean coding and conventional VQ; motion block; static block; video encoding; video telephony; Decoding; Encoding; Image coding; Knowledge acquisition; Knowledge engineering; Partitioning algorithms; Statistics; Vector quantization; Video coding; Video compression; hybrid; vector quantization; video encoding;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.32