This paper seeks to unravel whether commonly available social tagged images can be exploited as a training resource for concept-based video search. Since social tags are known to ...
Almost all system and application design for multimedia systems is based around a single user working in isolation to perform some task yet much of the work for which we use comput...
Alan F. Smeaton, Hyowon Lee, Colum Foley, Sin&eacu...
Three video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a feature...
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
We present VideoPot, a desktop video search system designed for digital video files stored on personal computers. The core metric of this system is based on video-indexing techno...
Hidenobu Nagata, Dan Mikami, Shozo Azuma, Masashi ...
Though both quantity and quality of semantic concept detection in video are continuously improving, it still remains unclear how to exploit these detected concepts as semantic ind...
We propose to incorporate hundreds of pre-trained concept detectors to provide contextual information for improving the performance of multimodal video search. The approach takes ...
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
Until now, systematic studies on the effectiveness of concept detectors for video search have been carried out using less than 20 detectors, or in combination with other retrieval...