Title :
Semiotically articulated multimedia coding models
Author_Institution :
School of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
Abstract :
Compression has been the sole objective of traditional audio and visual data coding schemes. The requirements for effective information management have focused attention on the question of what mechanisms are required to support content based retrieval. This has been largely approached as a separate problem by either using index files containing meta-data or attempting to exploit whatever information is readily available in existing compressed data systems. This paper reviews existing support for information management in current coding models, and contrast this with the requirements for effective retrieval. Additionally, a class of semiotically based coding models are presented which are equally suited for achieving both high compression and effective information management
Keywords :
audio coding; data compression; encoding; image representation; multimedia communication; video coding; audio coding; compressed data systems; content based retrieval; data representation; index files; information management; meta-data; multimedia coding models; semiotically based coding models; visual data coding; Content based retrieval; Gold; Information management; Information retrieval; Information technology; Multimedia systems; Music information retrieval; Postal services; Streaming media; Video compression;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648506