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TRECVID
2008
14 years 29 days ago
Bilkent University Multimedia Database Group at TRECVID 2008
Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly...
Onur Kucuktunc, Muhammet Bastan, Ugur Güd&uum...
TRECVID
2008
14 years 29 days ago
Brno University of Technology at TRECVid 2008
In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation...
Petr Chmelar, Vítezslav Beran, Adam Herout,...
TRECVID
2008
14 years 29 days ago
Peking University at TRECVID 2008: High Level Feature Extraction
We participated in one task of TRECVID 2008, that is, the high-level feature extraction (HLFE). This paper presents our approaches and results on the HLFE task. We mainly focus on...
Yuxin Peng, Zhiguo Yang, Jian Yi, Lei Cao, Hao Li,...
TRECVID
2008
14 years 29 days ago
Fudan University at TRECVID 2008
Xiangyang Xue, Wei Zhang, Yue-Fei Guo, Hong Lu, Yu...
TRECVID
2008
14 years 29 days ago
Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
TRECVID
2008
14 years 29 days ago
Dublin City University at TRECVID 2008
In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2...
Peter Wilkins, Philip Kelly, Ciarán O. Cona...
TRECVID
2008
14 years 29 days ago
The Orange Labs Real Time Video Copy Detection System - TrecVid 2008 Results
In this paper, we describe the content-based video copy detection system developed at Orange Labs. We also present the evaluation results of the TrecVid 2008 copy detection evalua...
Nicolas Gengembre, Sid-Ahmed Berrani
TRECVID
2008
14 years 29 days ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
TRECVID
2008
14 years 29 days 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...
RIVF
2007
14 years 29 days ago
Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
This paper illustrates the use of acoustic modeling of spoken dialog systems. One major problem with using speech three different structures, including syllables, fillers and recog...
S. Tangruamsub, Proadpran Punyabukkana, Atiwong Su...