Video quality assessment using the combined full-reference approach

被引:0
|
作者
Okarma K. [1 ]
机构
[1] Faculty of Electrical Engineering, Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, Szczecin 71-126
来源
Advances in Intelligent and Soft Computing | 2010年 / 84卷
关键词
D O I
10.1007/978-3-642-16295-4_5
中图分类号
学科分类号
摘要
In this paper the new combined video quality metric is proposed, which may be useful for the quality assessment of the compressed video files, especially transmitted using wireless channels. The proposed metric is the weighted combination of three state-of-the-art image quality metrics, which are well correlated with the subjective evaluations. A simple extension of those metrics for the video quality assessment is the averaging of their values for all video frames. Nevertheless, such approach may not lead to satisfactory results for all types of distortions. In this paper the typical distortions introduced during the wireless video transmission have been analyzed using the 160 files available as the LIVE Wireless Video Quality Assessment Database together with the results of subjective quality evaluation. Obtained results are promising and the proposed metric is superior to each of the analyzed ones in the aspect of the linear correlation with subjective scores. © 2010 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:51 / 58
页数:7
相关论文
共 50 条
  • [21] Composition-preserving deep approach to full-reference image quality assessment
    Varga, Domonkos
    SIGNAL IMAGE AND VIDEO PROCESSING, 2020, 14 (06) : 1265 - 1272
  • [22] Full-Reference SSIM Metric for Video Quality Assessment with Saliency-Based Features
    Romani, Eduardo
    da Silva, Wyllian Bezerra
    Ono Fonseca, Keiko Veronica
    Culibrk, Dubravko
    Prado Pohl, Alexandre de Almeida
    NEW TRENDS IN IMAGE ANALYSIS AND PROCESSING - ICIAP 2015 WORKSHOPS, 2015, 9281 : 547 - 554
  • [23] Composition-preserving deep approach to full-reference image quality assessment
    Domonkos Varga
    Signal, Image and Video Processing, 2020, 14 : 1265 - 1272
  • [24] A Full-Reference Quality Assessment Metric for Cartoon Images
    Li, Chunyi
    Zhang, Zicheng
    Sun, Wei
    Min, Xiongkuo
    Zhai, Guangtao
    2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2022,
  • [25] Combined Full-Reference Image Quality Metrics for Objective Assessment of Multiply Distorted Images
    Okarma, Krzysztof
    Lech, Piotr
    Lukin, Vladimir V.
    ELECTRONICS, 2021, 10 (18)
  • [26] Full-reference quality assessment of stereopairs accounting for rivalry
    Chen, Ming-Jun
    Su, Che-Chun
    Kwon, Do-Kyoung
    Cormack, Lawrence K.
    Bovik, Alan C.
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2013, 28 (09) : 1143 - 1155
  • [27] Full-reference audio-visual video quality metric
    Martinez, Helard Becerra
    Fariasa, Mylene C. Q.
    JOURNAL OF ELECTRONIC IMAGING, 2014, 23 (06)
  • [28] Full-Reference Image Quality Assessment with Transformer and DISTS
    Tsai, Pei-Fen
    Peng, Huai-Nan
    Liao, Chia-Hung
    Yuan, Shyan-Ming
    MATHEMATICS, 2023, 11 (07)
  • [29] A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps
    Varga, Domonkos
    ALGORITHMS, 2020, 13 (12)
  • [30] FNTF:First No-reference Then Full-reference Image Quality Assessment Using Dark Channel
    Lv, Xiaoxin
    Qin, Min
    Chen, Xiaohui
    Qin, Xiaowei
    2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2015, : 438 - 443