Adaptive thresholding for scene change detection

Soongi Hong, Beobkeun Cho, Yoonsik Choe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Increasing the demands of digital video by developing the Internet market and the multimedia technologies, video indexing technique such as scene change detection is required to manage the data efficiently. In conventional methods, scene change is detected by comparing the value of current detected measure with the fixed threshold induced from preceding experiments. However, this can not guarantee the best performances on all various video sequences, due to their own specific characteristics. To solve this problem, a novel adaptive threshold decision method is proposed. First, histogram of scene change detection measure induced from preceding experiments is derived. Then this is modeled with log-normal distributed pdf and the model parameters are estimated. Consequently, experimental results obtained from this pdf model and estimated parameters demonstrate better performance of the proposed method comparing with conventional methods.

Original languageEnglish
Title of host publicationProceedings 2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013
PublisherIEEE Computer Society
Pages75-78
Number of pages4
ISBN (Print)9781479914128
DOIs
Publication statusPublished - 2013
Event2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013 - Berlin, Germany
Duration: 2013 Sep 82013 Sep 11

Publication series

NameProceedings 2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013

Other

Other2013 IEEE 3rd International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2013
CountryGermany
CityBerlin
Period13/9/813/9/11

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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