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» Detecting Irregularities in Images and in Video
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ACIVS
2009
Springer
14 years 3 months ago
Evaluation of Interest Point Detectors for Non-planar, Transparent Scenes
The detection of stable, distinctive and rich feature point sets has been an active area of research in the field of video and image analysis. Transparency imaging, such as X-ray,...
Chrysi Papalazarou, Peter M. J. Rongen, Peter H. N...
CIVR
2009
Springer
130views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Exploring inter-concept relationship with context space for semantic video indexing
Semantic concept detectors are often individually and independently developed. Using peripherally related concepts for leveraging the power of joint detection, which is referred t...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
PAMI
2008
220views more  PAMI 2008»
13 years 8 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICIP
2000
IEEE
14 years 10 months ago
Novel Approach to Determining Tempo and Dramatic Story Sections in Motion Pictures
This paper presents an original computational approach to extraction of movie tempo for deriving story sections and events that convey high level semantics of stories portrayed in...
Brett Adams, Chitra Dorai, Svetha Venkatesh
CIVR
2004
Springer
149views Image Analysis» more  CIVR 2004»
14 years 7 days ago
A Framework for Semantic Classification of Scenes Using Finite State Machines
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...
Yun Zhai, Zeeshan Rasheed, Mubarak Shah