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CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 5 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
SEMCO
2007
IEEE
13 years 11 months ago
Exploring Concept Selection Strategies for Interactive Video Search
Ranked shot lists from 39 automated LSCOM-Lite concept classifiers are investigated with respect to 24 TRECVID 2006 topics. Selecting the best fitting concept or pair of concepts ...
Michael G. Christel, Alexander G. Hauptmann
PCM
2004
Springer
224views Multimedia» more  PCM 2004»
13 years 10 months ago
Fast and Robust Short Video Clip Search for Copy Detection
Query by video clip (QVC) has attracted wide research interests in multimedia information retrieval. In general, QVC may include feature extraction, similaritymeasure,databaseorgan...
Junsong Yuan, Ling-Yu Duan, Qi Tian, Surendra Rang...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 6 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...