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TRECVID
2008
13 years 6 months ago
The MediaMill TRECVID 2008 Semantic Video Search Engine
In this paper we describe our TRECVID 2008 video retrieval experiments. The MediaMill team participated in three tasks: concept detection, automatic search, and interactive search...
Cees G. M. Snoek, Koen E. A. van de Sande, Ork de ...
MM
2009
ACM
147views Multimedia» more  MM 2009»
13 years 11 months ago
Distribution-based concept selection for concept-based video retrieval
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approaches try to find concepts that are likely to co-occur in the relevant shots fro...
Juan Cao, HongFang Jing, Chong-Wah Ngo, Yongdong Z...
MM
2005
ACM
164views Multimedia» more  MM 2005»
13 years 10 months ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang
CIVR
2005
Springer
165views Image Analysis» more  CIVR 2005»
13 years 7 months ago
The Use and Utility of High-Level Semantic Features in Video Retrieval
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Michael G. Christel, Alexander G. Hauptmann
PR
2006
101views more  PR 2006»
13 years 5 months ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord