Title :
Efficient content extraction in compressed images
Author :
Seales, W. Brent ; Yuan, C.J. ; Brown, Michael
Abstract :
In many contexts, it is desirable for users to be able to extract content directly from image and video data via queries formed dynamically online. Queries over pre-computed features of an image set restrict the user´s access to what has been computed by an editor or supervisor of the data. This paper presents an approach to extracting patterns from images and video efficiently in order to support online queries directly on the original image data. Our technique relies on compressed-domain processing, where we perform content extraction on image or video data that are compressed with standard algorithms such as JPEG, MPEG or wavelet schemes
Keywords :
data compression; feature extraction; image coding; image recognition; online operation; query processing; visual databases; JPEG; MPEG; compressed images; compressed-domain processing; data editor; data supervisor; dynamic online querying; image content extraction; pattern extraction; pre-computed features; query by content; standard algorithms; user access; video data; wavelet schemes;
Conference_Titel :
Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on
Conference_Location :
St. Thomas, U.S. Virgin Islands, USA
Print_ISBN :
0-7695-0695-X
DOI :
10.1109/IVL.1997.629720
