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Object detection and localization in compressed video

Creusere, Charles and Dahman, Ghassan LU (2001) 35th Asilomar Conference on Signals, Systems and Computers, 2001 In [Host publication title missing] p.93-97
Abstract
We study the problem of detecting and localizing objects that are embedded in compressed video sequences. Such a capability has two major and increasingly important practical uses: (1) video surveillance; (2) identification of copyright infringement. We focus here only on the problem of video surveillance. As a general rule, detection and localization of patterns is most efficiently performed in a reduced-dimensional subspace of the original object space. In this regard, it would be ideal to operate directly on the compressed bit stream. As a first step towards doing this, we consider here the problem of detecting and localizing video objects in the DCT domain (i.e., after the quantized DCT coefficients have been decoded but before the... (More)
We study the problem of detecting and localizing objects that are embedded in compressed video sequences. Such a capability has two major and increasingly important practical uses: (1) video surveillance; (2) identification of copyright infringement. We focus here only on the problem of video surveillance. As a general rule, detection and localization of patterns is most efficiently performed in a reduced-dimensional subspace of the original object space. In this regard, it would be ideal to operate directly on the compressed bit stream. As a first step towards doing this, we consider here the problem of detecting and localizing video objects in the DCT domain (i.e., after the quantized DCT coefficients have been decoded but before the inverse DCT has been applied). We present comparisons between this DCT-based approach and the more conventional method in which object detection and localization is performed entirely in the spatial domain. (Less)
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
pages
5 pages
conference name
35th Asilomar Conference on Signals, Systems and Computers, 2001
external identifiers
  • scopus:0035573781
ISSN
1058-6393
language
English
LU publication?
no
id
18e4d663-9bef-41a4-8461-512d2276e4bf (old id 4091469)
date added to LUP
2013-10-14 12:33:34
date last changed
2017-03-19 04:22:05
@inproceedings{18e4d663-9bef-41a4-8461-512d2276e4bf,
  abstract     = {We study the problem of detecting and localizing objects that are embedded in compressed video sequences. Such a capability has two major and increasingly important practical uses: (1) video surveillance; (2) identification of copyright infringement. We focus here only on the problem of video surveillance. As a general rule, detection and localization of patterns is most efficiently performed in a reduced-dimensional subspace of the original object space. In this regard, it would be ideal to operate directly on the compressed bit stream. As a first step towards doing this, we consider here the problem of detecting and localizing video objects in the DCT domain (i.e., after the quantized DCT coefficients have been decoded but before the inverse DCT has been applied). We present comparisons between this DCT-based approach and the more conventional method in which object detection and localization is performed entirely in the spatial domain.},
  author       = {Creusere, Charles and Dahman, Ghassan},
  booktitle    = {[Host publication title missing]},
  issn         = {1058-6393},
  language     = {eng},
  pages        = {93--97},
  title        = {Object detection and localization in compressed video},
  year         = {2001},
}