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» High-Level Feature Extraction Experiments for TRECVID 2007
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ICMCS
2007
IEEE
126views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust Commercial Retrieval in Video Streams
TV commercial video is a kind of informative medium. To fast and robustly index and retrieve commercial videos is of interest to commercial monitor, copyright protection, and comm...
Jinqiao Wang, Lingyu Duan, Qingshan Liu, Hanqing L...
ECIR
2008
Springer
13 years 8 months ago
Video Corpus Annotation Using Active Learning
Concept indexing in multimedia libraries is very useful for users searching and browsing but it is a very challenging research problem as well. Beyond the systems' implementat...
Stéphane Ayache, Georges Quénot
CVPR
2008
IEEE
14 years 9 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Clustering-Based Analysis of Semantic Concept Models for Video Shots
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such model...
Markus Koskela, Alan F. Smeaton
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
14 years 24 days ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen