No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream
A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of...
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| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2010-11, Vol.20 (11), p.1544-1554 |
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| container_title | IEEE transactions on circuits and systems for video technology |
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| creator | Yang, Fuzheng Wan, Shuai Xie, Qingpeng Wu, Hong Ren |
| description | A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric. |
| doi_str_mv | 10.1109/TCSVT.2010.2087433 |
| format | Article |
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This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2010.2087433</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Coding distortion ; Complexity theory ; Degradation ; Detection, estimation, filtering, equalization, prediction ; Discrete cosine transforms ; Distortion ; Encoding ; Errors ; Exact sciences and technology ; Frames ; Image processing ; Information, signal and communications theory ; Measurement ; networked video ; no-reference video quality assessment ; packet loss ; Pictures ; Quality assessment ; Quantization ; Sampling, quantization ; Signal and communications theory ; Signal processing ; Signal representation. 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This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.</description><subject>Applied sciences</subject><subject>Coding distortion</subject><subject>Complexity theory</subject><subject>Degradation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Discrete cosine transforms</subject><subject>Distortion</subject><subject>Encoding</subject><subject>Errors</subject><subject>Exact sciences and technology</subject><subject>Frames</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Measurement</subject><subject>networked video</subject><subject>no-reference video quality assessment</subject><subject>packet loss</subject><subject>Pictures</subject><subject>Quality assessment</subject><subject>Quantization</subject><subject>Sampling, quantization</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal representation. Spectral analysis</subject><subject>Signal, noise</subject><subject>Streaming media</subject><subject>Streams</subject><subject>Studies</subject><subject>Telecommunications and information theory</subject><subject>Temporal logic</subject><subject>temporal pooling</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE9P20AQxa0KpELoF2gvK1WoJ9OZ_WN7jxBRQIqgLWmu1mY9ljZ1vHTHKeLb45AoB04zo_m9p5mXZZ8RLhDBfp9PHxfzCwnjLKEqtVIfshM0psqlBHM09mAwrySaj9kp8woAdaXLk2xxH_Pf1FKi3pP4tXFdGF7EJTMxr6kfRBuTuKfhOaa_1IhFaCiK_8GJnymsXRrR3nUvHFjEVlyFQTwOidz6LDtuXcf0aV8n2Z8f1_PpbT57uLmbXs5yr0w55IU3bWF8A0svVdUSgC9tgco5UlhpRaUjI7FZ6qXBxpNV1kKDtqysXtpCq0n2bef7lOK_DfFQrwN76jrXU9xwXWmrSygKOZJf35GruEnj8VwjKECDiHak5I7yKTInauun3Z8jVG-Trt-SrrdJ1_ukR9H53tqxd12bXO8DH5RS6a311vzLjgtEdFibArQCUK_0aIXm</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Yang, Fuzheng</creator><creator>Wan, Shuai</creator><creator>Xie, Qingpeng</creator><creator>Wu, Hong Ren</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Spectral analysis</topic><topic>Signal, noise</topic><topic>Streaming media</topic><topic>Streams</topic><topic>Studies</topic><topic>Telecommunications and information theory</topic><topic>Temporal logic</topic><topic>temporal pooling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Fuzheng</creatorcontrib><creatorcontrib>Wan, Shuai</creatorcontrib><creatorcontrib>Xie, Qingpeng</creatorcontrib><creatorcontrib>Wu, Hong Ren</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang, Fuzheng</au><au>Wan, Shuai</au><au>Xie, Qingpeng</au><au>Wu, Hong Ren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2010-11-01</date><risdate>2010</risdate><volume>20</volume><issue>11</issue><spage>1544</spage><epage>1554</epage><pages>1544-1554</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2010.2087433</doi><tpages>11</tpages></addata></record> |
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| subjects | Applied sciences Coding distortion Complexity theory Degradation Detection, estimation, filtering, equalization, prediction Discrete cosine transforms Distortion Encoding Errors Exact sciences and technology Frames Image processing Information, signal and communications theory Measurement networked video no-reference video quality assessment packet loss Pictures Quality assessment Quantization Sampling, quantization Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Streaming media Streams Studies Telecommunications and information theory Temporal logic temporal pooling |
| title | No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream |
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