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» Analyzing video concept detectors visually
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TRECVID
2008
13 years 9 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
ICMCS
2005
IEEE
114views Multimedia» more  ICMCS 2005»
14 years 1 months ago
On the surplus value of semantic video analysis beyond the key frame
Typical semantic video analysis methods aim for classification of camera shots based on extracted features from a single key frame only. In this paper, we sketch a video analysis...
Cees G. M. Snoek, Marcel Worring, Jan-Mark Geusebr...
TRECVID
2008
13 years 9 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 ...
TRECVID
2007
13 years 8 months ago
The MediaMill TRECVID 2007 Semantic Video Search Engine
In this paper we describe our TRECVID 2007 experiments. The MediaMill team participated in two tasks: concept detection and search. For concept detection we extract regionbased im...
Cees G. M. Snoek, I. Everts, Jan van Gemert, Jan-M...
TCSV
2008
107views more  TCSV 2008»
13 years 7 months ago
Person Surveillance Using Visual and Infrared Imagery
This paper presents a methodology for analyzing multimodal and multiperspective systems for person surveillance. Using an experimental testbed consisting of two color and two infra...
Stephen J. Krotosky, Mohan M. Trivedi