Title :
Efficient image-dependent object shape coding
Author_Institution :
Hewlett Packard Labs., Palo Alto, CA, USA
Abstract :
We present a new shape coding algorithm, which differs from previous algorithms in that both the coding and decoding are dependent on the image in which the object is defined. This way, the correlation between image and shape is removed and shape coding efficiency is improved on average by 3 times over the state-of-the-art algorithms.
Keywords :
correlation methods; data compression; decoding; edge detection; image coding; optimisation; boundary detection; code word design; coding optimization; correlation; decoding; edge detection algorithm; efficient image-dependent object shape coding; shape coding algorithm; shape coding efficiency; Art; Content based retrieval; Decoding; Image coding; Image retrieval; Milling machines; Object detection; Pixel; Shape control; Web server;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1037986
