Paper Info
Title
Towards Distributed Video Summarization
Abstract
Video summarization is a fertile topic in multimedia research. While the advent of modern video cameras and several social networking and video sharing websites (like YouTube, Flickr, Facebook) has led to the generation of humongous amounts of redundant video data, video summarization has emerged as an effective methodology to automatically extract a succinct and condensed representation of a given video. The unprecedented increase in the volume of video data necessitates the usage of multiple, independent computers for its storage and processing. In order to understand the overall essence of a video, it is therefore necessary to develop an algorithm which can summarize a video distributed across multiple computers. In this paper, we propose a novel algorithm for distributed video summarization. Our algorithm requires minimal communication among the computers (over which the video is stored) and also enjoys nice theoretical properties. Our empirical results on several challenging, unconstrained videos corroborate the potential of the proposed framework for real-world distributed video summarization applications.
Year
DOI
Venue
2015
10.1145/2733373.2806355
ACM Multimedia
Keywords
Field
DocType
Video Summarization,Submodular Functions
Automatic summarization,Multi-document summarization,Social network,Computer science,Video tracking,Video sharing,Multimedia
Conference
Citations 
PageRank 
References 
3
0.50
11
Authors
3
Name
Order
Citations
PageRank
Shayok Chakraborty113717.47
Omesh Tickoo238931.58
Ravishankar Iyer372035.52