Title :
Extraction of features for indexing MPEG-compressed video
Author :
Kobla, V. ; Doermann, D.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Abstract :
Development of various multimedia applications is dependent on the availability of fast and efficient storage, browsing, indexing, and retrieval techniques. Given that video is stored efficiently in a compressed format, the costly overhead of decompression can be avoided by analyzing the compressed representation directly. We describe techniques that can be used to extract viable features for indexing shots of video directly from the compressed domain. We develop a type independent representation of frames present in an MPEG video and show how it can be used directly for indexing
Keywords :
code standards; data compression; feature extraction; image representation; indexing; multimedia computing; query processing; telecommunication standards; video coding; visual databases; MPEG-compressed video indexing; browsing; compressed format; decompression; feature extraction; image retrieval; image storage; multimedia applications; type independent representation; video frames; Data mining; Discrete cosine transforms; Feature extraction; Indexing; Information retrieval; Laboratories; Spatial databases; Storage automation; Transform coding; Video compression;
Conference_Titel :
Multimedia Signal Processing, 1997., IEEE First Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-3780-8
DOI :
10.1109/MMSP.1997.602658
