A NO-REFERENCE AUTOENCODER VIDEO QUALITY METRIC

被引：0
|
作者：
Martinez, Helard B. [1 ]
Farias, Mylene C. Q. [1 ]
Hines, Andrew [2 ]
机构：
[1] Univ Brasilia UnB, Grp Digital Signal Proc GPDS, Brasilia, DF, Brazil
[2] Univ Coll Dublin, Sch Comp Sci, QxLab, Dublin, Ireland
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2019年
基金：
爱尔兰科学基金会;
关键词：
no-reference quality metric; autoencoder; video quality; degradations; blind quality metrics;
D O I：
10.1109/icip.2019.8803204
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
In this work, we introduce the No-reference Autoencoder VidEo (NAVE) quality metric, which is based on a deep autoencoder machine learning technique. The metric uses a set of spatial and temporal features to estimate the overall visual quality, taking advantage of the autoencoder ability to produce a better and more compact set of features. NAVE was tested on two databases: the UnB-AVQ database and the LiveNetflix-II database. Results show that the method is able to estimate the perceived video quality with a good correlation performance and a small error, when compared to currently available no-reference and full-reference video quality objective metrics.
引用
收藏
页码：1755 / 1759
页数：5
相关论文
共 50 条
  • [1] No-reference quality metric for degraded and enhanced video
    Caviedes, JE
    Oberti, F
    [J]. VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3, 2003, 5150 : 621 - 632
  • [2] A No-Reference Video Quality Assessment Metric Based On ROI
    Jia, Lixiu
    Zhong, Xuefei
    Tu, Yan
    Niu, Wenjuan
    [J]. IMAGE QUALITY AND SYSTEM PERFORMANCE XII, 2015, 9396
  • [3] No-reference artifacts measurements based video quality metric
    Vranjes, Mario
    Bajcinovci, Viliams
    Grbic, Ratko
    Vajak, Denis
    [J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2019, 78 : 345 - 358
  • [4] A NO-REFERENCE AUDIO-VISUAL VIDEO QUALITY METRIC
    Martinez, Helard Becerra
    Farias, Mylene C. Q.
    [J]. 2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2014, : 2125 - 2129
  • [5] No-reference video quality metric based on artifact measurements
    Farias, MCQ
    Mitra, SK
    [J]. 2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 3593 - 3596
  • [6] A no-reference quality metric for evaluating deinterlaced video frames
    Lam, Eric P.
    Leddy, Christopher A.
    Nash, Stephen R.
    Parks, H. Alan
    [J]. INFRARED TECHNOLOGY AND APPLICATIONS XXXII, PTS 1AND 2, 2006, 6206
  • [7] A No-Reference Video Quality Metric Using a Natural Video Statistical Model
    Galea, Christian
    Farrugia, Reuben A.
    [J]. IEEE EUROCON 2015 - INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL (EUROCON), 2015, : 100 - 105
  • [8] MDVQM: A novel multidimensional no-reference video quality metric for video transcoding
    Zhang, Fan
    Steinbach, Eckehard
    Zhang, Peng
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2014, 25 (03) : 542 - 554
  • [9] A novel objective no-reference metric for digital video quality assessment
    Yang, FZ
    Wan, SA
    Chang, YL
    Wu, HR
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2005, 12 (10) : 685 - 688
  • [10] ANN based Measurement for No-Reference Video Quality of Experience Metric
    Ajrash, Amal Sufiuh
    Ghani, Rana Fareed
    Al-Jobouri, Laith
    [J]. 2019 11TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING (CEEC), 2019, : 128 - 133
12345