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» Using High-Level Semantic Features in Video Retrieval
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DICTA
2003
14 years 11 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
ICIP
2002
IEEE
15 years 11 months ago
Rule-based semantic summarization of instructional videos
We present a new content-based approach to summarize instructional videos. We first redefine "scene" in instructional videos. Focusing on one dominant scene type, that o...
Tiecheng Liu, John R. Kender
JMM2
2008
160views more  JMM2 2008»
14 years 9 months ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Camera Motion Detection using Video Mosaicing
In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described....
Masaki Naito, Kazunori Matsumoto, Keiichiro Hoashi...
MTA
2007
113views more  MTA 2007»
14 years 9 months ago
A framework for a video analysis tool for suspicious event detection
This paper proposes a framework to aid video analysts in detecting suspicious activity within the tremendous amounts of video data that exists in today’s world of omnipresent su...
Gal Lavee, Latifur Khan, Bhavani M. Thuraisingham