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» Using High-Level Semantic Features in Video Retrieval
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72
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ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Exploring Automatic Query Refinement for Text-Based Video Retrieval
Text-based search using video speech transcripts is a popular approach for granular video retrieval at the shot or story level. However, misalignment of speech and visual tracks, ...
Timo Volkmer, Apostol Natsev
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 3 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
96
Voted
MM
2010
ACM
151views Multimedia» more  MM 2010»
14 years 9 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...
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
15 years 4 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
CIVR
2004
Springer
149views Image Analysis» more  CIVR 2004»
15 years 1 months ago
A Framework for Semantic Classification of Scenes Using Finite State Machines
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...
Yun Zhai, Zeeshan Rasheed, Mubarak Shah