Quantifying the amount of spatial and temporal information in video test sequences

被引：23
|
作者：
Ostaszewska, A. [1 ]
Kloda, R. [1 ]
机构：
[1] Warsaw Univ Technol, Fac Mechatron, Sw Andrzeja Boboli 8 Str, PL-02525 Warsaw, Poland
来源：
RECENT ADVANCES IN MECHATRONICS | 2007年
关键词：
D O I：
10.1007/978-3-540-73956-2_3
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In case of compressed video quality assessment, the selection of test scenes is an important issue. So far there was only one conception for evaluation the level of scene complication. It was given in International Telecommunication Union recommendations and was broadly used. Authors investigated features of recommended parameters. The paper presents the incompatibility of those parameters with human perception that was discovered and gives a proposal of modification in algorithm, which improves accordance of parameters with observers' opinion.
引用
收藏
页码：11 / +
页数：2
相关论文
共 50 条
  • [31] Quantifying the amount of missing information in genetic association studies
    Nicolae, Dan L.
    [J]. GENETIC EPIDEMIOLOGY, 2006, 30 (08) : 703 - 717
  • [32] Learning Temporal Regularity in Video Sequences
    Hasan, Mahmudul
    Choi, Jonghyun
    Neumann, Jan
    Roy-Chowdhury, Amit K.
    Davis, Larry S.
    [J]. 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 733 - 742
  • [33] Automatic segmentation of moving objects in video sequences based on spatio-temporal information
    Mao, Ling
    Xie, Mei
    [J]. 2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS, 2007, : 750 - 754
  • [34] Automatic extraction of moving objects in video sequences based on spatio-temporal information
    Yang, WM
    Liu, JL
    Chen, HH
    [J]. IECON 2005: THIRTY-FIRST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, 2005, : 369 - 372
  • [35] A Method of Camera Relationship Establishment Based on Temporal and Spatial Information of Video Clips
    Liao, Hsien-Chou
    Hsieh, Cheng-Hsiung
    Hsieh, Yi-Ming
    Wu, Chih-En
    [J]. ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS, 2008, : 23 - 26
  • [36] Objective Perceptual Video Quality Prediction Using Spatial and Temporal Information Differences
    Elwardy, Majed
    Zepernick, Hans-Jurgen
    Chu, Thi My Chinh
    Sundstedt, Veronica
    [J]. ISCIT 2019: PROCEEDINGS OF 2019 19TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2019, : 436 - 441
  • [37] Spatial Neighbor Information Assisted Motion Compensated Temporal Filter for Video Coding
    Yuan, Zikun
    Zhu, Weijia
    He, Yuwen
    Zhang, Li
    Tang, Xiaohu
    [J]. 2024 PICTURE CODING SYMPOSIUM, PCS 2024, 2024,
  • [38] Effective shot boundary classification using video spatial-temporal information
    Lu, H
    Wang, B
    Xue, XY
    Tan, YP
    [J]. 2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2005, : 3837 - 3840
  • [39] High resolution video inpainting based on spatial structure and temporal edge information
    Bo, Dezhi
    Ma, Ran
    Wang, Keke
    Li, Kai
    An, Ping
    [J]. OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY VII, 2020, 11550
  • [40] Spatial-temporal error concealment with side information for standard video codecs
    Zeng, WJ
    [J]. 2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS, 2003, : 113 - 116
12345