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» Analyzing video concept detectors visually
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TRECVID
2008
13 years 6 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»
13 years 11 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 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 ...
TRECVID
2007
13 years 6 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 5 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