Learning to segment videos in HEVC compressed domain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High efficiency video coding (HEVC), as an up-to-date video coding standard, is becoming widely used, due to its preeminent performance. We argue in this paper that the new HEVC encoder can be utilized to provide efficient features for video segmentation. Thus, we propose a novel method, which learns to segment videos in HEVC compressed domain. Specifically, three features are extracted from HEVC bitstreams. Then, these features are integrated for video segmentation in compressed domain, through the logistic regression which is learnt from training data. This way, the computational complexity on video decoding can be saved. Experimental results show that our method is significantly superior to other state-of-the-art methods in terms of F-measure.

Original languageEnglish
Title of host publication2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467376860
DOIs
StatePublished - 30 Nov 2015
EventInternational Conference on Wireless Communications and Signal Processing, WCSP 2015 - Nanjing, China
Duration: 15 Oct 201517 Oct 2015

Publication series

Name2015 International Conference on Wireless Communications and Signal Processing, WCSP 2015

Conference

ConferenceInternational Conference on Wireless Communications and Signal Processing, WCSP 2015
Country/TerritoryChina
CityNanjing
Period15/10/1517/10/15

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