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ICPR
2002
IEEE
14 years 20 days ago
Detecting Automobiles and People for Semantic Video Retrieval
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active...
Rene Visser, Nicu Sebe, Michael S. Lew
MM
1997
ACM
182views Multimedia» more  MM 1997»
13 years 12 months ago
VideoQ: An Automated Content Based Video Search System Using Visual Cues
The rapidity with which digital information, particularly video is being generated, has necessitated the development of tools for efficient search of these digital media. Content...
Shih-Fu Chang, William Chen, Horace J. Meng, Hari ...
ISCIS
2003
Springer
14 years 27 days ago
A Solution to the Composition Problem in Object-Based Video Coding
Abstract. In this paper, we introduce the composition problem associated with object-based video coding and propose a solution to this problem. Although the object-based rate contr...
Jeong-Woo Lee, Yo-Sung Ho
WACV
2005
IEEE
14 years 1 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
AVSS
2005
IEEE
14 years 1 months ago
Shape recognition based on a video and multi-sensor system
We present in this paper a real-time system for shape recognition. The proposed system is a video and multisensor platform that is able to classify the mobile objects evolving in ...
Huy-Binh Bui Ngoc, François Brémond,...