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» Novel Edge Features for Text Frame Classification in Video
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CIVR
2003
Springer
154views Image Analysis» more  CIVR 2003»
15 years 2 months ago
Detecting Semantic Concepts from Video Using Temporal Gradients and Audio Classification
In this paper we describe new methods to detect semantic concepts from digital video based on audible and visual content. Temporal Gradient Correlogram captures temporal correlatio...
Mika Rautiainen, Tapio Seppänen, Jani Penttil...
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
14 years 7 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
ICC
2009
IEEE
182views Communications» more  ICC 2009»
15 years 4 months ago
Content Clustering Based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks
— The aim of this paper is quality prediction for streaming MPEG4 video sequences over wireless networks for all video content types. Video content has an impact on video quality...
Asiya Khan, Lingfen Sun, Emmanuel C. Ifeachor
PAMI
2008
302views more  PAMI 2008»
14 years 9 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos