In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2008 video retrieval benchmark. This year, focus of the sy...
Apostol Natsev, John R. Smith, Jelena Tesic, Lexin...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...