DocumentCode :
2030075
Title :
Compressed-domain techniques for image/video indexing and manipulation
Author :
Chang, Shih-Fu
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Volume :
1
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
314
Abstract :
As massive amount of visual materials are captured and stored in visual information systems, effective and efficient image indexing and manipulation techniques are required. Most visual materials in visual information systems are stored in some compressed forms. Therefore, it is desirable to explore image technologies for feature extraction and image manipulation in the compressed domain. In other words, image feature extraction and manipulation are performed on compressed images/video without decoding, or with minimal decoding only. Although the compressed-domain approach imposes many constraints, it provides great potential for reducing computational complexity, because of reduction of the amount of data after compression. This paper provides an overview of our research in this area. Specifically, it describes the results and the future directions of our work on compressed-domain texture feature extraction, image matching, image manipulation, and video indexing
Keywords :
feature extraction; image coding; image matching; image texture; indexing; information systems; video coding; visual databases; compressed domain techniques; computational complexity reduction; decoding; image feature extraction; image feature manipulation; image indexing; image matching; image technologies; image/video indexing; research; texture feature extraction; video indexing; video manipulation; visual information systems; visual materials; Decoding; Feature extraction; Image coding; Image databases; Image matching; Indexing; Information systems; Transform coding; Video compression; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.529709
Filename :
529709
Link To Document :
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