@inproceedings{fcdc9cc73fdc44c0a381cc624bc6086f,
title = "Visual Information Analysis for big-data using multi-core technologies",
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.",
keywords = "video summarization, big-data video analysis, mutual information",
author = "Nikolaos Mpountouropoulos and Anastasios Tefas and Nikos Nikolaidis and Ioannis Pitas",
year = "2014",
month = jun,
day = "13",
language = "English",
isbn = "978-3-319-07775-8",
volume = "297",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "309--316",
booktitle = "Intelligent Data analysis and its Applications, Volume I",
address = "United States",
note = "First Euro-China Conference on Intelligent Data Analysis and Applications (ECC) ; Conference date: 13-06-2014 Through 15-06-2014",
}