Computational efficient models for quality assessment of compressed video

被引:0
|
作者
Javurek, R [1 ]
机构
[1] Czech Tech Univ, Fac Elect Engn, Dept Radioelectr, Prague 16627 6, Czech Republic
来源
关键词
video quality evaluation; video compression; objective assessment; HVS;
D O I
10.1117/12.637913
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Two models for objective assessment of compressed video quality and results from subjective and objective tests of several low bit-rate video coders are introduced in this paper. First model is based on mathematical measures that describe perception of video distortion by human eye. Second model for quality evaluation is based on human visual system (HVS) characteristics. Obtained quality values from both models have been compared with subjective results. Both models are computationally efficient and produce results that are correlated with subjective results.
引用
收藏
页码:104 / 109
页数:6
相关论文
共 50 条
  • [1] Efficient Models for Objective Video Quality Assessment
    Javurek, Radim
    RADIOENGINEERING, 2004, 13 (04) : 48 - 50
  • [2] Video quality assessment using visual attention computational models
    Akamine, Welington Y. L.
    Farias, Mylene C. Q.
    JOURNAL OF ELECTRONIC IMAGING, 2014, 23 (06)
  • [3] Objective quality assessment for compressed video
    Yao, S
    Lin, W
    Lu, Z
    Ong, E
    Etoh, M
    PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II: COMMUNICATIONS-MULTIMEDIA SYSTEMS & APPLICATIONS, 2003, : 688 - 691
  • [4] Compressed Video Quality Assessment with Modified MSE
    Hu, Sudeng
    Jin, Lina
    Kuo, C. -C. Jay
    2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
  • [5] Reduced-Reference Video Quality Assessment of Compressed Video Sequences
    Ma, Lin
    Li, Songnan
    Ngan, King Ngi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2012, 22 (10) : 1441 - 1456
  • [6] HDR video quality assessment: Perceptual evaluation of compressed HDR video
    Pan, Xiaofei
    Zhang, Jiaqi
    Wang, Shanshe
    Wang, Shiqi
    Zhou, Yun
    Ding, Wenhua
    Yang, Yahui
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2018, 57 : 76 - 83
  • [7] No-Reference Video Quality Assessment in the Compressed Domain
    Lin, Xiangyu
    Ma, Hanjie
    Luo, Lei
    Chen, Yaowu
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2012, 58 (02) : 505 - 512
  • [8] Objective Quality Assessment of HD Video Based on Compressed Domain
    Song, Rui
    Jiang, Xiuhua
    Shi, Hui
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
  • [9] Quality Assessment of Compressed Video for Automatic License Plate Recognition
    Ukhanova, Anna
    Stottrup-Andersen, Jesper
    Forchhammer, Soren
    Madsen, John
    PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, THEORY AND APPLICATIONS (VISAPP 2014), VOL 3, 2014, : 306 - 313
  • [10] Subjective Quality Assessment of Compressed 3D Video
    Tian, Tian
    Jiang, Xiuhua
    Du, Xiangkun
    2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014), 2014, : 606 - 611