DocumentCode :
2898900
Title :
A framework for designing natural object detector in video
Author :
Wanjun Jin ; Tang, Zhiyan ; Zhao, Zeyu
Author_Institution :
Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai, China
Volume :
3
fYear :
2003
fDate :
15-18 Dec. 2003
Firstpage :
1541
Abstract :
This paper presents a framework for detecting natural objects in video. We analyze each key frame of video to determine if there is any interesting natural object inside. After key frames are extracted by our shot boundary detection (SBD) system, natural object detection in a key frame is done through following such a general pipeline. First, a novel representation CF*IRF (color frequency and inverse region frequency) is developed to detect all possible regions of the target object. Then those regions are validated by texture features and other color features. Finally the shape and location information of the regions give the final answer of the present of the target object. In this paper we also discuss the problem of search task´s evaluation. A set of criteria is proposed, by which different search tasks can be classified and analyzed.
Keywords :
image colour analysis; image representation; image texture; object detection; video signal processing; color frequency; inverse region frequency; key frames; natural object detection; shot boundary detection system; texture features; video object detection; Content based retrieval; Detectors; Event detection; Face detection; Fires; Image retrieval; Motion detection; Object detection; Pipelines; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
Type :
conf
DOI :
10.1109/ICICS.2003.1292725
Filename :
1292725
Link To Document :
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