Indexing of compressed video sequences

Fayez M. Idris; Sethuraman Panchanathan

doi:10.1117/12.234801

13 March 1996 Indexing of compressed video sequences

Fayez M. Idris, Sethuraman Panchanathan

Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234801
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

In this paper, we propose an algorithm based on vector quantization (VQ) for indexing of video sequences in the compressed form. In VQ, the image to be compressed is decomposed into L-dimensional vectors. Each vector is mapped into one of a finite set of codewords (codebook). Vectors are encoded in the intraframe mode using adaptive VQ. Each frame is represented by a set of labels and a codebook. We note that the codebook reflects the contents of the frame being compressed and similar frames have similar codebooks. The labels are used for cut detection and to generate indices to store and retrieve video sequences. The proposed technique provides fast access to the sequences in the database. In addition, this technique combines video compression and video indexing. Simulation results confirm the substantial gains of the proposed technique in comparison with other techniques reported in the literature.

Citation Download Citation

Fayez M. Idris and Sethuraman Panchanathan "Indexing of compressed video sequences", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234801

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available