By Topic

Image sequence coding using adaptive tree-structured vector quantisation with multipath searching

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chang, R.F. ; Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Chen, W.T. ; Wang, J.S.

In the encoding of image sequences for transmission and storage, the coding algorithm must have the ability to adapt to changing image characteristics from sequence to sequence and from frame to frame. A new adaptive tree-structured vector quantisation (adaptive TSVQ) with multipath searching is described. The structure of the codebook tree is reorganised at an update interval, without requiring any transmission of side information. The 1-path tree searching algorithm is a simple method of finding the closest codeword in TSVQ. The disadvantage of 1-path searching is that the selected codewords are not, in general, closest to the input vectors. Hence, the multipath searching algorithm is proposed to improve the image quality. The improvement over the fixed TSVQ at the same bit rate is up to 2.54 dB when the number of the leaves in the codebook tree is 256 and 4-path searching is applied.<>

Published in:

Communications, Speech and Vision, IEE Proceedings I  (Volume:139 ,  Issue: 1 )