Compressed domain video retrieval using object and global motion descriptors

Video content description has become an important task with the standardization effort of MPEG-7, which aims at easy and efficient access to visual information. In this paper we propose a system to extract object-based and global features from compressed MPEG video using the motion vector informatio...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia tools and applications 2007-01, Vol.32 (1), p.93-113
Main Authors: Babu, R Venkatesh, Ramakrishnan, K R
Format: Article
Language:English
Subjects:
Multimedia computer applications
Object oriented programming
Studies
Video
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Video content description has become an important task with the standardization effort of MPEG-7, which aims at easy and efficient access to visual information. In this paper we propose a system to extract object-based and global features from compressed MPEG video using the motion vector information for video retrieval. The reliability of the motion information is enhanced by a motion accumulation process. The global features like motion activity and camera motion parameters are extracted from the above enhanced motion information. The object features such as speed, area and trajectory are then obtained after the proposed object segmentation. The number of objects in a given video shot is determined by the proposed K-means clustering procedure. The object segmentation is done by applying EM algorithm.[PUBLICATION ABSTRACT]
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-006-0048-9