Loading…

Motion vector composition algorithm for spatial scalability in compressed video

Spatial scalable encoding of visual data has several applications, including browsing visual databases, querying multimedia databases, interactive multimedia communications, etc. To convert a compressed video sequence to a lower spatial resolution compressed video, it may decode the original bit-str...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on consumer electronics 2001-08, Vol.47 (3), p.319-325
Main Authors:	Chen, Mei-Juan, Chu, Ming-Chung, Lo, Shen-Yi
Format:	Article
Language:	English
Subjects:	Algorithms Compressed Electronics Encoding Mathematical analysis Motion estimation Multimedia Multimedia communication Multimedia databases Scalability Spatial databases Spatial resolution Vectors (mathematics) Video compression Video sequences Visual Visual databases
Citations:	Items that this one cites Items that cite this one
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by	cdi_FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3
cites	cdi_FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3
container_end_page	325
container_issue	3
container_start_page	319
container_title	IEEE transactions on consumer electronics
container_volume	47
creator	Chen, Mei-Juan Chu, Ming-Chung Lo, Shen-Yi
description	Spatial scalable encoding of visual data has several applications, including browsing visual databases, querying multimedia databases, interactive multimedia communications, etc. To convert a compressed video sequence to a lower spatial resolution compressed video, it may decode the original bit-stream, down-sample each frame, and encode. The computation-intensive motion estimation will be included in the transcoder. The re-use of motion vectors extracted from incoming video bit-streams during transcoding has been widely accepted. This paper proposes a new algorithm to estimate the motion vector of the reduced low-resolution video by only using the original motion vectors and DC coefficients in the compressed bit-stream. By taking into account the spatial activity measurement to generate better prediction for the composed motion vector, higher quality and lower complexity than previous works are achieved by the proposed method.
doi_str_mv	10.1109/30.964116
format	article
fullrecord	<record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_30_964116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>964116</ieee_id><sourcerecordid>914662026</sourcerecordid><originalsourceid>FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3</originalsourceid><addsrcrecordid>eNqF0TtPwzAQB3ALgUQpDKxMEQOIIcXvx4gqXlJRF5gjx3bAVRIHO63Ub09oKgYGmE66-91Jpz8A5wjOEILqlsCZ4hQhfgAmiDGZU4TFIZhAqGROICfH4CSlFYSIMiwnYPkSeh_abONMH2JmQtOF5HctXb-H6PuPJquGSep073WdJaNrXfra99vMt7uF6FJyNtt468IpOKp0ndzZvk7B28P96_wpXywfn-d3i9wQLvqclI7iUkpnsdJECEZKW1bUlpRIZDlDgmAiKJeKYiGsoYxZjTEkEFqFjSFTcD3e7WL4XLvUF41PxtW1bl1Yp0IhyjmGmA_y6k-JJYVIKvg_5JJJjtkAL3_BVVjHdni3kJIKRZREA7oZkYkhpeiqoou-0XFbIFh8R1UQWIxRDfZitN459-P2wy9sjo0E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>884793981</pqid></control><display><type>article</type><title>Motion vector composition algorithm for spatial scalability in compressed video</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Chen, Mei-Juan ; Chu, Ming-Chung ; Lo, Shen-Yi</creator><creatorcontrib>Chen, Mei-Juan ; Chu, Ming-Chung ; Lo, Shen-Yi</creatorcontrib><description>Spatial scalable encoding of visual data has several applications, including browsing visual databases, querying multimedia databases, interactive multimedia communications, etc. To convert a compressed video sequence to a lower spatial resolution compressed video, it may decode the original bit-stream, down-sample each frame, and encode. The computation-intensive motion estimation will be included in the transcoder. The re-use of motion vectors extracted from incoming video bit-streams during transcoding has been widely accepted. This paper proposes a new algorithm to estimate the motion vector of the reduced low-resolution video by only using the original motion vectors and DC coefficients in the compressed bit-stream. By taking into account the spatial activity measurement to generate better prediction for the composed motion vector, higher quality and lower complexity than previous works are achieved by the proposed method.</description><identifier>ISSN: 0098-3063</identifier><identifier>EISSN: 1558-4127</identifier><identifier>DOI: 10.1109/30.964116</identifier><identifier>CODEN: ITCEDA</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Compressed ; Electronics ; Encoding ; Mathematical analysis ; Motion estimation ; Multimedia ; Multimedia communication ; Multimedia databases ; Scalability ; Spatial databases ; Spatial resolution ; Vectors (mathematics) ; Video compression ; Video sequences ; Visual ; Visual databases</subject><ispartof>IEEE transactions on consumer electronics, 2001-08, Vol.47 (3), p.319-325</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3</citedby><cites>FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/964116$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,54771</link.rule.ids></links><search><creatorcontrib>Chen, Mei-Juan</creatorcontrib><creatorcontrib>Chu, Ming-Chung</creatorcontrib><creatorcontrib>Lo, Shen-Yi</creatorcontrib><title>Motion vector composition algorithm for spatial scalability in compressed video</title><title>IEEE transactions on consumer electronics</title><addtitle>T-CE</addtitle><description>Spatial scalable encoding of visual data has several applications, including browsing visual databases, querying multimedia databases, interactive multimedia communications, etc. To convert a compressed video sequence to a lower spatial resolution compressed video, it may decode the original bit-stream, down-sample each frame, and encode. The computation-intensive motion estimation will be included in the transcoder. The re-use of motion vectors extracted from incoming video bit-streams during transcoding has been widely accepted. This paper proposes a new algorithm to estimate the motion vector of the reduced low-resolution video by only using the original motion vectors and DC coefficients in the compressed bit-stream. By taking into account the spatial activity measurement to generate better prediction for the composed motion vector, higher quality and lower complexity than previous works are achieved by the proposed method.</description><subject>Algorithms</subject><subject>Compressed</subject><subject>Electronics</subject><subject>Encoding</subject><subject>Mathematical analysis</subject><subject>Motion estimation</subject><subject>Multimedia</subject><subject>Multimedia communication</subject><subject>Multimedia databases</subject><subject>Scalability</subject><subject>Spatial databases</subject><subject>Spatial resolution</subject><subject>Vectors (mathematics)</subject><subject>Video compression</subject><subject>Video sequences</subject><subject>Visual</subject><subject>Visual databases</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqF0TtPwzAQB3ALgUQpDKxMEQOIIcXvx4gqXlJRF5gjx3bAVRIHO63Ub09oKgYGmE66-91Jpz8A5wjOEILqlsCZ4hQhfgAmiDGZU4TFIZhAqGROICfH4CSlFYSIMiwnYPkSeh_abONMH2JmQtOF5HctXb-H6PuPJquGSep073WdJaNrXfra99vMt7uF6FJyNtt468IpOKp0ndzZvk7B28P96_wpXywfn-d3i9wQLvqclI7iUkpnsdJECEZKW1bUlpRIZDlDgmAiKJeKYiGsoYxZjTEkEFqFjSFTcD3e7WL4XLvUF41PxtW1bl1Yp0IhyjmGmA_y6k-JJYVIKvg_5JJJjtkAL3_BVVjHdni3kJIKRZREA7oZkYkhpeiqoou-0XFbIFh8R1UQWIxRDfZitN459-P2wy9sjo0E</recordid><startdate>20010801</startdate><enddate>20010801</enddate><creator>Chen, Mei-Juan</creator><creator>Chu, Ming-Chung</creator><creator>Lo, Shen-Yi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>20010801</creationdate><title>Motion vector composition algorithm for spatial scalability in compressed video</title><author>Chen, Mei-Juan ; Chu, Ming-Chung ; Lo, Shen-Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Algorithms</topic><topic>Compressed</topic><topic>Electronics</topic><topic>Encoding</topic><topic>Mathematical analysis</topic><topic>Motion estimation</topic><topic>Multimedia</topic><topic>Multimedia communication</topic><topic>Multimedia databases</topic><topic>Scalability</topic><topic>Spatial databases</topic><topic>Spatial resolution</topic><topic>Vectors (mathematics)</topic><topic>Video compression</topic><topic>Video sequences</topic><topic>Visual</topic><topic>Visual databases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Mei-Juan</creatorcontrib><creatorcontrib>Chu, Ming-Chung</creatorcontrib><creatorcontrib>Lo, Shen-Yi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEL</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on consumer electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Mei-Juan</au><au>Chu, Ming-Chung</au><au>Lo, Shen-Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Motion vector composition algorithm for spatial scalability in compressed video</atitle><jtitle>IEEE transactions on consumer electronics</jtitle><stitle>T-CE</stitle><date>2001-08-01</date><risdate>2001</risdate><volume>47</volume><issue>3</issue><spage>319</spage><epage>325</epage><pages>319-325</pages><issn>0098-3063</issn><eissn>1558-4127</eissn><coden>ITCEDA</coden><abstract>Spatial scalable encoding of visual data has several applications, including browsing visual databases, querying multimedia databases, interactive multimedia communications, etc. To convert a compressed video sequence to a lower spatial resolution compressed video, it may decode the original bit-stream, down-sample each frame, and encode. The computation-intensive motion estimation will be included in the transcoder. The re-use of motion vectors extracted from incoming video bit-streams during transcoding has been widely accepted. This paper proposes a new algorithm to estimate the motion vector of the reduced low-resolution video by only using the original motion vectors and DC coefficients in the compressed bit-stream. By taking into account the spatial activity measurement to generate better prediction for the composed motion vector, higher quality and lower complexity than previous works are achieved by the proposed method.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/30.964116</doi><tpages>7</tpages></addata></record>
fulltext	fulltext
identifier	ISSN: 0098-3063
ispartof	IEEE transactions on consumer electronics, 2001-08, Vol.47 (3), p.319-325
issn	0098-3063 1558-4127
language	eng
recordid	cdi_crossref_primary_10_1109_30_964116
source	IEEE Electronic Library (IEL) Journals
subjects	Algorithms Compressed Electronics Encoding Mathematical analysis Motion estimation Multimedia Multimedia communication Multimedia databases Scalability Spatial databases Spatial resolution Vectors (mathematics) Video compression Video sequences Visual Visual databases
title	Motion vector composition algorithm for spatial scalability in compressed video
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T08%3A47%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Motion%20vector%20composition%20algorithm%20for%20spatial%20scalability%20in%20compressed%20video&rft.jtitle=IEEE%20transactions%20on%20consumer%20electronics&rft.au=Chen,%20Mei-Juan&rft.date=2001-08-01&rft.volume=47&rft.issue=3&rft.spage=319&rft.epage=325&rft.pages=319-325&rft.issn=0098-3063&rft.eissn=1558-4127&rft.coden=ITCEDA&rft_id=info:doi/10.1109/30.964116&rft_dat=%3Cproquest_cross%3E914662026%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c367t-3be42b88ed29a37753bdbf4db4381d6517323746894277dc455da220300d92cc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=884793981&rft_id=info:pmid/&rft_ieee_id=964116&rfr_iscdi=true