PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Video summarization with SOMs
Jorma Laaksonen, Markus Koskela, Mats Sjöberg, Ville Viitaniemi and Hannes Muurinen
In: 6th Int. Workshop on Self-Organizing Maps (WSOM 2007), Bielefeld, Germany(2007).

Abstract

Video summarization is a process where a long video file is converted to a considerably shorter form. The video summary can then be used to facilitate efficient searching and browsing of video files in large video collections. The aim of successful automatic summarization is to preserve as much as possible from the essential content of each video. What is essential is subjective and dependent on the use of the videos and the overall content of the collection. In this paper we present an overview of the SOM-based methodology we have used for video summarization. The method uses temporal trajectories of the best-matching units of frame-wise feature vectors for shot boundary detection and shot similarity assessment. The video material we have used in our experiments comes from NIST's annual TRECVID evaluation for content-based video retrieval systems.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Multimodal Integration
Information Retrieval & Textual Information Access
ID Code:3283
Deposited By:Ville Viitaniemi
Deposited On:07 February 2008