CVD2014-A Database for Evaluating No-Reference Video Quality Assessment Algorithms

CVD2014-A Database for Evaluating No-Reference Video Quality Assessment Algorithms
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DOI:
10.1109/tip.2016.2562513
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发表时间:
2016-07-01
影响因子:
10.6
通讯作者:
Hakkinen, Jukka
Hakkinen, Jukka
中科院分区:
计算机科学1区
文献类型:
--
作者:
Nuutinen, Mikko;Virtanen, Toni;Hakkinen, Jukka

文献摘要

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本文提出了一种新的视频数据库:CVD 2014-Camera Video Database。与以前的视频数据库相比,该数据库使用真实的摄像机,而不是通过后处理引入失真,这导致关于视频采集过程的复杂失真空间。CVD 2014共包含234个视频,使用78个不同的摄像头记录。此外,该数据库包含特定于广告商的质量评价分数,而不是仅提供平均意见分数。我们还收集了观察员提供的开放式质量描述。这些描述用于定义CVD 2014中视频的质量维度。这些维度包括锐度、颗粒度、色彩平衡、暗度和急动度。在本文的最后,性能研究的图像和视频质量算法预测的主观视频质量的报告。对于这项性能研究,我们提出了一个新的性能指标,占观察员方差。性能研究表明,视频质量评估算法还有改进的空间。CVD 2014视频数据库已向研究界公开提供。所有视频序列和相应的主观评级可以从CVD 2014项目页面(http://www.赫尔辛基fi/psychology/groups/visualcognition/)。
In this paper, we present a new video database: CVD2014-Camera Video Database. In contrast to previous video databases, this database uses real cameras rather than introducing distortions via post-processing, which results in a complex distortion space in regard to the video acquisition process. CVD2014 contains a total of 234 videos that are recorded using 78 different cameras. Moreover, this database contains the observer-specific quality evaluation scores rather than only providing mean opinion scores. We have also collected open-ended quality descriptions that are provided by the observers. These descriptions were used to define the quality dimensions for the videos in CVD2014. The dimensions included sharpness, graininess, color balance, darkness, and jerkiness. At the end of this paper, a performance study of image and video quality algorithms for predicting the subjective video quality is reported. For this performance study, we proposed a new performance measure that accounts for observer variance. The performance study revealed that there is room for improvement regarding the video quality assessment algorithms. The CVD2014 video database has been made publicly available for the research community. All video sequences and corresponding subjective ratings can be obtained from the CVD2014 project page (http://www. helsinki. fi/psychology/groups/visualcognition/).