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Content-based browsing of video sequences
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Source International Multimedia Conference archive
Proceedings of the second ACM international conference on Multimedia table of contents
San Francisco, California, United States
Pages: 97 - 103  
Year of Publication: 1994
ISBN:0-89791-686-7
Authors
F. Arman  Siemens Corporate Research, Inc., 755 College Road East, Princeton, New Jersey
R. Depommier  Siemens Corporate Research, Inc., 755 College Road East, Princeton, New Jersey
A. Hsu  Siemens Corporate Research, Inc., 755 College Road East, Princeton, New Jersey
M.-Y. Chiu  Siemens Corporate Research, Inc., 755 College Road East, Princeton, New Jersey
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGCOMM: ACM Special Interest Group on Data Communication
SIGLINK: Hypertext, Hypermedia, and Web
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGIR: ACM Special Interest Group on Information Retrieval
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 64,   Citation Count: 30
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ABSTRACT

A novel methodology to represent the contents of a video sequence is presented. The representation is used to allow the user to rapidly view a video sequence in order to find a particular point within the sequence and/or to decide whether the contents of the sequence are relevant to his or her needs. This system, referred to as content-based browsing, forms an abstraction to represent each shot of the sequence by using a representative frame, or an Rframe, and it includes management techniques to allow the user to easily navigate the Rframes. This methodology is superior to the current techniques of fast forward and rewind because rather than using every frame to view and judge the contents, only a few abstractions are used. Therefore, the need to retrieve the video from a storage system and to transmit every frame over the network in its entirety no longer exists, saving time, expenses, and bandwidth.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

arman93e
 
arman94
F. Arman, A. Hsu and M-Y. Chiu, Image Processing on Encoded Video Sequences, in Multimedia Systems Journal, vol 1, no. 5, 1994, pp 211-219.
 
elliot93
E. Elliott, Watch, Grab, Arrange, See: Thinking with Motion images via Streams and Collages, Ph.D. Thesis, MIT, Feb 1993.
 
gonzalez77
 
hu61
M.-K. Hu, Pauem Recognition by moment invariants, in Proc. IRE, vol. 49, 1961, p 1428.
 
hu62
M.-K. Hu, Visual pattern recognition by moment invariants, in IRE Trans. Inform. Theory, vol. 8, Feb 1962, pp 179- 187.
miller93
mills92
 
novak92
C. L. Novak and S. A. Sharer, Anatomy of a Color Histogram, in Proceeding of Computer Vision and Pattern Recognition, Champaign, IL, June, 1992, pp 599-605.
 
reiss91
 
swain91
 
tonomura90
Tonomura, Y. and Abe, S., Content Oriented Visual Interface Using Video Icons for Visual Database Systems, in Journal of Visual Languages and Computing, vol. 1, 1990, pp 183-198.
tonomura93
udea91
ueda93
 
zhang94
H-J. Zhang and W. Smoliar, Developing Power Tools for Video Indexing and Retrieval, in proceedings of SPIE conference on Storage and Retrieval for Image and Video Databases, San Jose, CA, 1994.

CITED BY  30

Collaborative Colleagues:
F. Arman: colleagues
R. Depommier: colleagues
A. Hsu: colleagues
M.-Y. Chiu: colleagues