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» Using High-Level Semantic Features in Video Retrieval
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FGR
2006
IEEE
117views Biometrics» more  FGR 2006»
15 years 3 months ago
Gesture Spotting in Low-Quality Video with Features Based on Curvature Scale Space
Player’s gesture and action spotting in sports video is a key task in automatic analysis of the video material at a high level. In many sports views, the camera covers a large p...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
ICDAR
2011
IEEE
13 years 9 months ago
Edge-Based Features for Localization of Artificial Urdu Text in Video Images
—Content-based video indexing and retrieval has become an interesting research area with the tremendous growth in the amount of digital media. In addition to the audio-visual con...
Akhtar Jamil, Imran Siddiqi, Fahim Arif, Ahsen Raz...
SIGIR
2010
ACM
14 years 4 months ago
Personalised video retrieval: application of implicit feedback and semantic user profiles
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...
Frank Hopfgartner
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
15 years 1 months ago
Towards a Large Scale Concept Ontology for Broadcast Video
Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ong...
Alexander G. Hauptmann
IPCV
2008
14 years 11 months ago
Content Based Retrieval System for Archaeological Images
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
Akshay Asthana, Ranjan Dutta, Anshul Jain, Deepak ...