Best papers in multimedia information retrieval

Abstract

An important area in multimedia information retrieval is event recognition in video retrieval. This area is of particular interest because it directly addresses the grand challenge of bridging the semantic gap between the user and the machine. We open this issue with the survey paper “High-level event recognition in unconstrained videos” by Yu-Gang Jiang, Subhabrata Bhattacharya, Shih-Fu Chang and Mubarak Shah, which presents a comprehensive review, breakdown and analysis of the current and critical technologies in state-of-the-art high-level event recognition systems. On behalf of the editorial board, it is an honor to present extended versions of the four best conference papers from the ACM multimedia retrieval research community. The papers were selected based on the reviews of the program committee by the ACM ICMR program chairs, Alan Smeaton, Alex Hauptmann, and Chong-Wah Ngo and the ACM MIR program chairs, Nuria Ramirez and Apostol Natsev. Due to the prevalence of 3D objects in architecture, CAD applications, computer games, and numerous internet applications, 3D object retrieval has grown quickly in societal importance. The paper “3D object retrieval using salient views” by Indriyati Atmosukarto and Linda G. Shapiro presents a novel approach based on silhouettes which is both competitive in accuracy with the top research community methods and also significantly higher performance.