No-reference video quality assessment in the compressed domain
In this paper, a novel no-reference video quality assessment algorithm in the compressed domain is introduced. The proposed algorithm takes into account of three key factors; the quantization parameter, the motion, and the bit allocation factor which are calculated using the information extracted fr...
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| Veröffentlicht in: | IEEE transactions on consumer electronics 2012-05, Vol.58 (2), p.505-512 |
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| container_title | IEEE transactions on consumer electronics |
| container_volume | 58 |
| creator | Lin, X. Ma, H. Luo, L. Chen, Y. |
| description | In this paper, a novel no-reference video quality assessment algorithm in the compressed domain is introduced. The proposed algorithm takes into account of three key factors; the quantization parameter, the motion, and the bit allocation factor which are calculated using the information extracted from the compressed bitstream. Characteristics of human visual system are also taken into consideration. In contrast to conventional video quality assessment metrics which measure the video quality frame by frame, the video sequence is processed by this algorithm as a whole. The proposed algorithm has been tested on the H.264/AVC bitstreams in LIVE Video Quality Database. Furthermore, bitstreams encoded by JM 17.0 with different configurations are also tested to examine the generality. The experiment results show that the proposed algorithm has better performance than many conventional methods in terms of both the prediction accuracy and the computation complexity. |
| doi_str_mv | 10.1109/TCE.2012.6227454 |
| format | Article |
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The proposed algorithm takes into account of three key factors; the quantization parameter, the motion, and the bit allocation factor which are calculated using the information extracted from the compressed bitstream. Characteristics of human visual system are also taken into consideration. In contrast to conventional video quality assessment metrics which measure the video quality frame by frame, the video sequence is processed by this algorithm as a whole. The proposed algorithm has been tested on the H.264/AVC bitstreams in LIVE Video Quality Database. Furthermore, bitstreams encoded by JM 17.0 with different configurations are also tested to examine the generality. The experiment results show that the proposed algorithm has better performance than many conventional methods in terms of both the prediction accuracy and the computation complexity.</description><identifier>ISSN: 0098-3063</identifier><identifier>EISSN: 1558-4127</identifier><identifier>DOI: 10.1109/TCE.2012.6227454</identifier><identifier>CODEN: ITCEDA</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; Allocations ; bit allocation ; Bit rate ; Complexity theory ; Compressed ; compressed domain ; Electronics ; Frames ; human visual system ; Humans ; Mathematical analysis ; motion ; no-reference video quality assessment ; Quality assessment ; Quantization ; quantization parameter ; Studies ; Video compression</subject><ispartof>IEEE transactions on consumer electronics, 2012-05, Vol.58 (2), p.505-512</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The proposed algorithm takes into account of three key factors; the quantization parameter, the motion, and the bit allocation factor which are calculated using the information extracted from the compressed bitstream. Characteristics of human visual system are also taken into consideration. In contrast to conventional video quality assessment metrics which measure the video quality frame by frame, the video sequence is processed by this algorithm as a whole. The proposed algorithm has been tested on the H.264/AVC bitstreams in LIVE Video Quality Database. Furthermore, bitstreams encoded by JM 17.0 with different configurations are also tested to examine the generality. The experiment results show that the proposed algorithm has better performance than many conventional methods in terms of both the prediction accuracy and the computation complexity.</description><subject>Algorithms</subject><subject>Allocations</subject><subject>bit allocation</subject><subject>Bit rate</subject><subject>Complexity theory</subject><subject>Compressed</subject><subject>compressed domain</subject><subject>Electronics</subject><subject>Frames</subject><subject>human visual system</subject><subject>Humans</subject><subject>Mathematical analysis</subject><subject>motion</subject><subject>no-reference video quality assessment</subject><subject>Quality assessment</subject><subject>Quantization</subject><subject>quantization parameter</subject><subject>Studies</subject><subject>Video compression</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhhdRsFbvgpeAFy-ps1_Z3YsgpX5A0Us9h2QzwZQk2-4mQv99t7R68DQw87wvw0PILYUZpWAeV_PFjAFls4wxJaQ4IxMqpU4FZeqcTACMTjlk_JJchbAGoEIyPSFPHy71WKPH3mLy01Toku1YtM2wS4oQMIQO-yFp-mT4xsS6buPjDqukcl3R9Nfkoi7agDenOSVfL4vV_C1dfr6-z5-XqeVMDKkEIyqwpRVotMwKgExlXLGaZpyWtSgNM2VptLBKM84Nlxmta8ZQWVC2Rj4lD8fejXfbEcOQd02w2LZFj24MOQWuOXAV-6bk_h-6dqPv43eRYlwbSfWBgiNlvQshGsg3vukKv4tQfhCaR6H5QWh-Ehojd8dIg4h_-O91D6Lnb2w</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Lin, X.</creator><creator>Ma, H.</creator><creator>Luo, L.</creator><creator>Chen, Y.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Allocations bit allocation Bit rate Complexity theory Compressed compressed domain Electronics Frames human visual system Humans Mathematical analysis motion no-reference video quality assessment Quality assessment Quantization quantization parameter Studies Video compression |
| title | No-reference video quality assessment in the compressed domain |
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