Rushes video summarization using a collaborative approach

This paper describes the video summarization system developed by the partners of the K-Space European Network of Excellence for the TRECVID 2008 BBC rushes summarization evaluation. We propose an original method based on individual content segmentation and selection tools in a collaborative system. Our system is organized in several steps. First, we segment the video, secondly we identify relevant and redundant segments, and finally, we select a subset of segments to concatenate and build the final summary with video acceleration incorporated. We analyze the performance of our system through the TRECVID evaluation

A collaborative approach to video summarization

This poster describes an approach to video summarization based on the combination of several decision mechanisms provided by the partners of the KSpace European Network of Excellence. The system has been applied to the TRECVID 2008 BBC rushes summarization task

Image clustering and Video Summarisation using ant-inspired methods

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Fusion in Computer Vision: Understanding Complex Visual Content

International audienc

Machine Learning Techniques for Multimedia Analysis

International audienc

Future Media Internet Architecture Reference Model (v1.0)

Future Media Internet Architecture Think Tank White PaperThe Future Internet (FI) is expected to be a communication and delivery ecosystem, which will interface, interconnect, integrate and expand today's Internet, public and private intranets and communication networks of any type and scale, in order to provide efficiently, transparently and securely highly demanding services to humans and systems. This complex networking environment may be considered from various interrelated perspectives: the networks & infrastructure viewpoint, the services viewpoint, the media & information viewpoint. This document has been produces by a discussion forum of experts in the area of media and networks, named: Future Media Internet - Think Tank (FMIA-TT). FMIA-TT aims to create a reference model of a “Future Media Internet Architecture”, covering delivery, in the network adaptation/enrichment and consumption of media over the Future Internet ecosystem. This white paper concludes the first phase of the working group by proposing a FMIA reference model

Abstract

In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated in two tasks, highlevel feature extraction and search. We present our approaches for each of these activities and provide a brie