Fast Scene Change Detection using Direct Feature Extraction from MPEG Compressed Videos
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seong-Whan | - |
dc.contributor.author | Kim, Young-Min | - |
dc.contributor.author | Choi, Sung Woo | - |
dc.date.accessioned | 2021-09-09T12:35:28Z | - |
dc.date.available | 2021-09-09T12:35:28Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2000-12 | - |
dc.identifier.issn | 1520-9210 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/124404 | - |
dc.description.abstract | In order to process video data efficiently, a video segmentation technique through scene change detection must be required. This is a fundamental operation used in many digital video applications such as digital libraries, video on demand (VOD), etc. Many of these advanced video applications require manipulations of compressed video signals. So, the scene change detection process is achieved by analyzing the video directly in the compressed domain, thereby avoiding the overhead of decompressing video into individual frames in the pixel domain. In this paper, we propose a fast scene change detection algorithm using direct feature extraction from MPEG compressed videos, and evaluate this technique using sample video data. First, we derive binary edge maps from the AC coefficients in blocks which were discrete cosine transformed. Second, we measure edge orientation, strength and offset using correlation between the AC coefficients in the derived binary edge maps. Finally, we match two consecutive frames using these two features (edge orientation and strength). This process was made possible by a new mathematical formulation for deriving the edge information directly from the discrete cosine transform (DCT) coefficients. We have shown that the proposed algorithm is faster or more accurate than the previously known scene change detection algorithms. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | RETRIEVAL | - |
dc.title | Fast Scene Change Detection using Direct Feature Extraction from MPEG Compressed Videos | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Seong-Whan | - |
dc.identifier.scopusid | 2-s2.0-33750903343 | - |
dc.identifier.wosid | 000207089000005 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MULTIMEDIA, v.2, no.4, pp.240 - 254 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON MULTIMEDIA | - |
dc.citation.title | IEEE TRANSACTIONS ON MULTIMEDIA | - |
dc.citation.volume | 2 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 240 | - |
dc.citation.endPage | 254 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | RETRIEVAL | - |
dc.subject.keywordAuthor | Direct feature extraction | - |
dc.subject.keywordAuthor | discrete cosine transform | - |
dc.subject.keywordAuthor | edge information | - |
dc.subject.keywordAuthor | MPEG compressed video | - |
dc.subject.keywordAuthor | scene change detection | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.