In order to reduce the computational complexity, most of the video classification approaches
represent video data at frame level. In this paper we investigate a novel perspective that …

The increasing amount of digital multimedia content available is inspiring potential new
types of user interaction with video data. Users want to easily find the content by searching …

This paper proposes a novel framework for Relevance Feedback based on the Fisher
Kernel (FK). Specifically, we train a Gaussian Mixture Model (GMM) on the top retrieval …

In this paper we propose an in-depth evaluation of the performance of video descriptors to
multimodal video genre categorization. We discuss the perspective of designing appropriate …

La forte augmentation du volume de données multimédia impose la mise au point de
solutions adaptées pour une exploration visuelle efficace des bases multimédia. Après avoir …

Prof. dr. C. Griwodz, University of Oslo, Simula Research Laboratory, Oslo, Norway Prof. dr.
FGB De Natale, University of Trento, Italy Prof. dr. FMG de Jong, University of Twente …