The FRAMES project is developing a system for video database search, content-based retrieval, and virtual video program synthesis. For dynamic synthesis applications, a video progr...
The retrieval of videos of interest from large video collections is a main open problem which calls for the definition of new video content characterization techniques in term of ...
Abstract. Content based multimedia retrieval systems have been proposed to allow for automatic and efficient indexing and retrieval of the increasing amount of audiovisual data (im...
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...
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...