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» Video Scene Retrieval Based on Local Region Features
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CVPR
2001
IEEE
16 years 28 days ago
Scene-Consistent Detection of Feature Points in Video Sequences
Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video se...
Ariel Tankus, Yehezkel Yeshurun
80
Voted
MM
1995
ACM
139views Multimedia» more  MM 1995»
15 years 2 months ago
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Ramin Zabih, Justin Miller, Kevin Mai
112
Voted
ICIP
2008
IEEE
16 years 19 days ago
Robust video fingerprinting based on 2D-OPCA of affine covariant regions
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...
Chang Dong Yoo, Sunil Lee
IJCV
2007
163views more  IJCV 2007»
14 years 10 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
100
Voted
CISST
2004
164views Hardware» more  CISST 2004»
15 years 9 days ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp