DocumentCode :
2630574
Title :
Knowledge-based system for coding head and shoulder images
Author :
Alattar, Adnan M. ; Rajala, Sarah A.
Author_Institution :
Intel Princeton Oper., Princeton, NJ, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
1026
Abstract :
Several implementation issues of the primitive-based image codec are discussed, namely, the structure of the database, coding the primitives when no match is found in the database, buffer control, and accumulation of error. A hierarchical database, constructed during the coder´s operation, is used to avoid difficulties of constructing an offline database. Singular-value decomposition of primitives is used in a way similar to that of transform coding to construct a compact database and to code the primitives when no match from the database is found. Accumulation of error is prevented by transmitting with each frame the pixels from three lines that are evenly spaced in the image raster and moved up each frame time. The achievable compression ratio is also analyzed
Keywords :
codecs; computerised picture processing; data compression; database management systems; encoding; knowledge based systems; coding head and shoulder images; compression ratio; hierarchical database; image coding; knowledge based systems; primitive-based image codec; Buffer storage; Codecs; Computer errors; Decoding; Head; Image coding; Image databases; Knowledge based systems; Page description languages; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112283
Filename :
112283
Link To Document :
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