TTHU-IMG at TRECVID 2010
نویسندگان
چکیده
Content-based Copy Detection ID Profile Brief Description dragon BALANCED Baseline: SURF + PiP Detection + VBH Indexing + Post Processing tiger NOFA Baseline with different parameters linnet BALANCED Baseline with different parameters and flipped query tortoise NOFA Baseline with different parameters and flipped query
منابع مشابه
THU-IMG at TRECVID 2009
Results of content based copy detection task ID Profile Brief description IMG.v.nofa.CN NOFA Video only, ScoreTimes=1.5 IMG.v.balanced.CB BALANCED Video only, ScoreTimes=1.3 IMG.m.nofa.NOFA NOFA Video + audio, ScoreTimes=1.5, AND(video_result, audio_result) IMG.m.balanced.BALANCED BALANCED Video + audio, ScoreTimes=1.3, OR(video_result, audio_result) Results of high level feature extract task I...
متن کاملThe Scholarly Impact of TRECVid ( 2003 - 2009 ) ( pre - print )
This paper reports on an investigation into the scholarly impact of the TRECVid (TREC Video Retrieval Evaluation) benchmarking conferences between 2003 and 2009. The contribution of TRECVid to research in video retrieval is assessed by analyzing publication content to show the development of techniques and approaches over time and by analyzing publication impact through publication numbers and ...
متن کاملAT&T Research at TRECVID 2010
AT&T participated in two tasks at TRECVID 2010: contentbased copy detection (CCD) and instance-based search (INS). The CCD system developed for TRECVID 2009 was enhanced for efficiency and scale and was augmented by audio features [1]. As a pilot task, participation in INS was meant to evaluate a number of algorithms traditionally used for search in a fully automated setting. In this paper, we ...
متن کاملYork_University at TRECVID 2010
In this paper, we describe our work done by members at York University in Canada for the KIS (Known-item search) task of TRECVID 2010. This is the first time that we participate in the TRECVID. With rich experience in text retrieval, we mainly focus on the meta information of videos, and try to figure out the importance of these description corpus. In order to obtain this goal, we do not use an...
متن کاملJOANNEUM RESEARCH and Vienna University of Technology at TRECVID 2010
We participated in two tasks: semantic indexing (SIN) and instance search (INS).
متن کامل