Object detection and localization in compressed video
(2001) 35th Asilomar Conference on Signals, Systems and Computers, 2001 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4091469
- author
- Creusere, Charles and Dahman, Ghassan LU
- publishing date
- 2001
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 5 pages
- conference name
- 35th Asilomar Conference on Signals, Systems and Computers, 2001
- conference location
- Pacific Grove, CA, United States
- conference dates
- 2001-11-04 - 2001-11-07
- 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
- 2016-04-04 09:33:34
- date last changed
- 2022-01-29 18:27:10
@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}},
}