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» Using High-Level Semantic Features in Video Retrieval
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ICIP
2007
IEEE
15 years 11 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li
ER
1999
Springer
160views Database» more  ER 1999»
15 years 1 months ago
Developing an Object-Oriented Video Database System with Spatio-Temporal Reasoning Capabilities
Video data management (VDM) is fast becoming one of seminar topics in multimedia information systems. In VDM systems, there exists an important need for novel techniques and mechan...
Shermann S.-M. Chan, Qing Li
CMMR
2003
Springer
121views Music» more  CMMR 2003»
15 years 2 months ago
Evolving Automatically High-Level Music Descriptors from Acoustic Signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the fi...
François Pachet, Aymeric Zils
MMM
2008
Springer
127views Multimedia» more  MMM 2008»
15 years 3 months ago
A Query Language Combining Object Features and Semantic Events for Surveillance Video Retrieval
In this paper, we propose a novel query language for video indexing and retrieval that (1) enables to make queries both at the image level and at the semantic level (2) enables the...
Thi-Lan Le, Monique Thonnat, Alain Boucher, Fran&c...
TRECVID
2008
14 years 11 months ago
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Ru...