This paper presents our approaches and results of the four TRECVID 2008 tasks we participated in: high-level feature extraction, automatic video search, video copy detection, and ...
This paper describes the Knowledge Base multimedia retrieval system for the TRECVID 2008 evaluation. Our focus this year is on query analysis and the creation of a topic knowledge...
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
This paper reports the participation of INRIA IMEDIA team in TRECVID 2008 Video Copy Detection task. Three runs were submitted using video-only content. Two of them correspond to t...
— Semantic file systems enhance standard file systems with the ability of file searching based on file semantics. The users interact with semantic file systems not only by execut...
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
In this paper, we describe the Toshiba event detection system for TRECVID surveillance event detection task [1]. Our system consists of four components: (1) a flexible and robust ...
This paper presents the systems and results for the Event Detection task of the TRECVid 2008 evaluation campaign. The kind of events addressed are single-actor, without requiring ...
Andreas Stergiou, Aristodemos Pnevmatikakis, Lazar...
The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2008 High Level Features detecti...
The Oxford/IIIT team participated in the high-level feature extraction and interactive search tasks. A vision only approach was used for both tasks, with no use of the text or aud...