Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances
This paper proposes a video saliency detection model for MPEG and HEVC coded videos. The model extracts features from MPEG macro blocks and HEVC coding units. The feature variables are based on syntax elements and statistics of prediction error. The suitability of the selected features is verified t...
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| Format: | article |
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2016
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| Online Access: | http://hdl.handle.net/11073/8818 |
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| _version_ | 1864513433479675904 |
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| author | Shanableh, Tamer |
| author_facet | Shanableh, Tamer |
| author_role | author |
| dc.creator.none.fl_str_mv | Shanableh, Tamer |
| dc.date.none.fl_str_mv | 2016-04 2017-05-01T05:44:03Z 2017-05-01T05:44:03Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Shanableh, T. (2016). Saliency detection in mPEG and hEVC video using intra-frame and inter-frame distances. Signal, Image and Video Processing, 10(4), 703-709. doi:10.1007/s11760-015-0798-9 1863-1711 http://hdl.handle.net/11073/8818 10.1007/s11760-015-0798-9 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | Springer |
| dc.relation.none.fl_str_mv | http://dx.doi.org/10.1007/s11760-015-0798-9 |
| dc.subject.none.fl_str_mv | Saliency detection Feature extraction MPEG HEVC |
| dc.title.none.fl_str_mv | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| dc.type.none.fl_str_mv | Postprint Peer-Reviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This paper proposes a video saliency detection model for MPEG and HEVC coded videos. The model extracts features from MPEG macro blocks and HEVC coding units. The feature variables are based on syntax elements and statistics of prediction error. The suitability of the selected features is verified through the use of stepwise regression. Three saliency maps are generated based on intra-frame distances, inter-frame distances and global distances. The proposed model is tested using the eye-1 dataset compiled by Laurent Itti lab in the University of Southern California. The accuracy of the model is quantified by comparing saliency values at human saccade locations against saliency values at random locations. The comparison is performed in terms of Kullback-Leibler distances and receiver-operator curves. The proposed solution is compared against existing work using similar experimental setup. Experimental results revealed that a Kullback-Leibler distance of 2.14 and area under the receiver-operator curve of 0.936 are achieved. |
| format | article |
| id | aus_cfad017e777302ba6db19b722ad93005 |
| identifier_str_mv | Shanableh, T. (2016). Saliency detection in mPEG and hEVC video using intra-frame and inter-frame distances. Signal, Image and Video Processing, 10(4), 703-709. doi:10.1007/s11760-015-0798-9 1863-1711 10.1007/s11760-015-0798-9 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/8818 |
| publishDate | 2016 |
| publisher.none.fl_str_mv | Springer |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distancesShanableh, TamerSaliency detectionFeature extractionMPEGHEVCThis paper proposes a video saliency detection model for MPEG and HEVC coded videos. The model extracts features from MPEG macro blocks and HEVC coding units. The feature variables are based on syntax elements and statistics of prediction error. The suitability of the selected features is verified through the use of stepwise regression. Three saliency maps are generated based on intra-frame distances, inter-frame distances and global distances. The proposed model is tested using the eye-1 dataset compiled by Laurent Itti lab in the University of Southern California. The accuracy of the model is quantified by comparing saliency values at human saccade locations against saliency values at random locations. The comparison is performed in terms of Kullback-Leibler distances and receiver-operator curves. The proposed solution is compared against existing work using similar experimental setup. Experimental results revealed that a Kullback-Leibler distance of 2.14 and area under the receiver-operator curve of 0.936 are achieved.Springer2017-05-01T05:44:03Z2017-05-01T05:44:03Z2016-04PostprintPeer-Reviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfShanableh, T. (2016). Saliency detection in mPEG and hEVC video using intra-frame and inter-frame distances. Signal, Image and Video Processing, 10(4), 703-709. doi:10.1007/s11760-015-0798-91863-1711http://hdl.handle.net/11073/881810.1007/s11760-015-0798-9en_UShttp://dx.doi.org/10.1007/s11760-015-0798-9oai:repository.aus.edu:11073/88182024-08-22T12:07:25Z |
| spellingShingle | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances Shanableh, Tamer Saliency detection Feature extraction MPEG HEVC |
| status_str | publishedVersion |
| title | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| title_full | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| title_fullStr | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| title_full_unstemmed | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| title_short | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| title_sort | Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances |
| topic | Saliency detection Feature extraction MPEG HEVC |
| url | http://hdl.handle.net/11073/8818 |