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» Meeting video retrieval using dynamic HMM model similarity
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ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Meeting video retrieval using dynamic HMM model similarity
Overcoming the semantic-feature gap and adapting to context are two main challenges in content-based retrieval. The problem is even more complicated for unstructured videos such a...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol
ICMCS
2000
IEEE
131views Multimedia» more  ICMCS 2000»
13 years 8 months ago
Joint Video Scene Segmentation and Classification based on Hidden Markov Model
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
Jincheng Huang, Zhu Liu, Yao Wang
CVPR
2009
IEEE
14 years 12 months ago
A Similarity Measure Between Vector Sequences with Application to Handwritten Word Image Retrieval
This article proposes a novel similarity measure between vector sequences. Recently, a model-based approach was introduced to address this issue. It consists in modeling each se...
José A. Rodríguez-Serrano, Florent P...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
13 years 10 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
TCSV
2008
291views more  TCSV 2008»
13 years 4 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...