使用图像对齐方法的视频稳定

Swetta Pereira, Vaqar Ansari
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引用次数: 1

摘要

捕捉或获取视频数据从先进的设备,如手机摄像头,智能手机,摄像机等,是最近和不断增长的趋势。随着视频摄像机作为这些多媒体设备的组成部分的发展,对视频防抖产生了需求。数字视频稳定或视频帧对齐技术用于提高输入视频的质量,通过消除不希望的相机运动抖动;不受欢迎的晃动等。目前已经开发了许多视频稳定技术,但只有快速、计算复杂度低的方法才能应用于嵌入式设备。本文综述了快速块匹配局部运动矢量估计和对齐算法。定量评价表明了算法的有效性。本文的工作还有助于提高H.264/HEVC视频编解码器中各种错误隐藏、错误恢复和视频质量改进技术的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video stabilization using image alignment approach
Capturing or acquiring video data from advanced gadgets, like cell phone cameras, smart phones, camcorders, etc., is very recent and up growing trend. With the advancement of the video camera as the integrated part of these multimedia devices generates necessity for video stabilization. Digital video stabilization or video frame alignment techniques are used to improve quality of input video by removing the undesired camera motions jitters; undesirable jiggles etc. Many video stabilization techniques are developed till now but only fast and low computational complexity approaches can be applied on the embedded devices. The paper presents the review of fast block matching local motion vector estimation and alignment algorithm. Effectiveness of the algorithm is shown by quantitative evaluation. The proposed work will also help to boost the performance of various error concealment, error resilience and video quality improvement techniques in H.264/HEVC video codec.
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