Visual Information Analysis for big-data using multi-core technologies

Nikolaos Mpountouropoulos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

The exponential growth of video data produced by surveillance cameras, cell phones and movie post-production creates the need to process big-data using methods that are able to produce instantaneous result. Video summarization can be accomplished and represented in several manners. The achieved summaries might be a sequence of images or short videos. In our method, an input video is divided into shots. From each shot we calculate key frames using three different key frame definitions, to summarize the video data. The contribution of this paper is to describe how to incorporate techniques that extract on the on the fly results.
Original languageEnglish
Title of host publicationIntelligent Data analysis and its Applications, Volume I
Subtitle of host publicationProceeding of the First Euro-China Conference on Intelligent Data Analysis and Applications, June 13-15, 2014, Shenzhen, China
PublisherSpringer
Pages309-316
Number of pages8
Volume297
ISBN (Electronic)978-3-319-07776-5
ISBN (Print)978-3-319-07775-8
Publication statusPublished - 13 Jun 2014
EventFirst Euro-China Conference on Intelligent Data Analysis and Applications (ECC) - Shenzhen, China
Duration: 13 Jun 201415 Jun 2014

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer International Publishing
Volume297
ISSN (Print)2194-5357

Conference

ConferenceFirst Euro-China Conference on Intelligent Data Analysis and Applications (ECC)
CountryChina
CityShenzhen
Period13/06/1415/06/14

Keywords

  • video summarization
  • big-data video analysis
  • mutual information

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