H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling

The new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper proposes and evaluates several transcoding algorithms from the H.264/AVC to the HE...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Peixoto, Eduardo (author)
مؤلفون آخرون: Shanableh, Tamer (author), Izquierdo, Ebroul (author)
التنسيق: article
منشور في: 2014
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/8822
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author Peixoto, Eduardo
author2 Shanableh, Tamer
Izquierdo, Ebroul
author2_role author
author
author_facet Peixoto, Eduardo
Shanableh, Tamer
Izquierdo, Ebroul
author_role author
dc.creator.none.fl_str_mv Peixoto, Eduardo
Shanableh, Tamer
Izquierdo, Ebroul
dc.date.none.fl_str_mv 2014
2017-05-01T07:00:00Z
2017-05-01T07:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv Peixoto, E., Shanableh, T., & Izquierdo, E. (2014). H.264/AVC to HEVC video transcoder based on dynamic thresholding and content modeling. IEEE transactions on circuits & systems for video technology, 24(1), 99-112.
1558-2205
http://hdl.handle.net/11073/8822
10.1109/TCSVT.2013.2273651
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv http://doi.org/10.1109/TCSVT.2013.2273651
dc.subject.none.fl_str_mv Transcoding
HEVC
Machine learning
dc.title.none.fl_str_mv H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
dc.type.none.fl_str_mv Postprint
Peer-Reviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper proposes and evaluates several transcoding algorithms from the H.264/AVC to the HEVC format. In particular, a novel transcoding architecture, in which the first frames of the sequence are used to compute the parameters so that the transcoder can 'learn' the mapping for that particular sequence, is proposed. Then, two types of mode mapping algorithms are proposed. In the first solution, a single H.264/AVC coding parameter is used to determine the outgoing HEVC partitions using dynamic thresholding. The second solution uses linear discriminant functions to map the incoming H.264/AVC coding parameters to the outgoing HEVC partitions. This paper contains experiments designed to study the impact of the number of frames used for training in the transcoder. Comparisons with existing transcoding solutions reveal that the proposed work results in much lower rate-distortion loss at a competitive complexity performance.
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identifier_str_mv Peixoto, E., Shanableh, T., & Izquierdo, E. (2014). H.264/AVC to HEVC video transcoder based on dynamic thresholding and content modeling. IEEE transactions on circuits & systems for video technology, 24(1), 99-112.
1558-2205
10.1109/TCSVT.2013.2273651
language_invalid_str_mv en_US
network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/8822
publishDate 2014
publisher.none.fl_str_mv IEEE
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spelling H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content ModelingPeixoto, EduardoShanableh, TamerIzquierdo, EbroulTranscodingHEVCMachine learningThe new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper proposes and evaluates several transcoding algorithms from the H.264/AVC to the HEVC format. In particular, a novel transcoding architecture, in which the first frames of the sequence are used to compute the parameters so that the transcoder can 'learn' the mapping for that particular sequence, is proposed. Then, two types of mode mapping algorithms are proposed. In the first solution, a single H.264/AVC coding parameter is used to determine the outgoing HEVC partitions using dynamic thresholding. The second solution uses linear discriminant functions to map the incoming H.264/AVC coding parameters to the outgoing HEVC partitions. This paper contains experiments designed to study the impact of the number of frames used for training in the transcoder. Comparisons with existing transcoding solutions reveal that the proposed work results in much lower rate-distortion loss at a competitive complexity performance.IEEE2017-05-01T07:00:00Z2017-05-01T07:00:00Z2014PostprintPeer-Reviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPeixoto, E., Shanableh, T., & Izquierdo, E. (2014). H.264/AVC to HEVC video transcoder based on dynamic thresholding and content modeling. IEEE transactions on circuits & systems for video technology, 24(1), 99-112.1558-2205http://hdl.handle.net/11073/882210.1109/TCSVT.2013.2273651en_UShttp://doi.org/10.1109/TCSVT.2013.2273651oai:repository.aus.edu:11073/88222024-08-22T12:07:55Z
spellingShingle H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
Peixoto, Eduardo
Transcoding
HEVC
Machine learning
status_str publishedVersion
title H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
title_full H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
title_fullStr H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
title_full_unstemmed H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
title_short H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
title_sort H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
topic Transcoding
HEVC
Machine learning
url http://hdl.handle.net/11073/8822