...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE transactions on multimedia >No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture
【24h】

No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture

机译：基于时空纹理的立体视频的无参考质量评估

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Due to the wide application of stereoscopic display technology, stereoscopic video quality assessment (SVQA) is facing great challenges, but worthwhile. Stereoscopic videos contain a great deal of information, which involves not only the spatial domain but also the spatio-temporal domain. Motion in stereoscopic video plays a critical role in quality perception, while the existing SVQA methods rarely refer to motion factors, and the performance of these methods is restrained. In this article, a novel SVQA based on motion perception is introduced and its performance is superior to that of existing excellent methods. Particularly, to appropriately reduce the amount of data processing, we extract the key-frame sequences according to the influence of movement intensity on binocular visual quality perception. The binocular summation and difference operations are implemented on extracted sequences, and then spatial texture and spatio-temporal texture statistic measurement are extracted simultaneously with local binary patterns from three orthogonal planes (LBP-TOP). Experiments are implemented on two publicly available databases and the results demonstrate the effectiveness and robustness of our algorithm for various categories of distortion stereoscopic video pairs.
机译：由于立体显示技术的广泛应用，立体视频质量评估（SVQA）面临巨大的挑战，但值得。立体视频包含大量信息，它不仅涉及空间域，还涉及时空域。在立体视频中的运动在质量看法中起着关键作用，而现有的SVQA方法很少参考运动因子，并且限制这些方法的性能。在本文中，引入了一种基于运动感知的新型SVQA，其性能优于现有的优秀方法。特别地，为了适当地减少数据处理量，我们根据运动强度对双目视觉质量感知的影响提取密钥帧序列。双目求和和差异操作在提取的序列上实现，然后用来自三个正交平面（LBP-TOP）的局部二进制图案同时提取空间纹理和时空纹理统计测量。实验是在两个公开的数据库上实施，结果展示了我们对各种类型的失真立体视频对算法的有效性和稳健性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号