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Video Segmentation: A systematic review on recent advances, techniques and classification

机译:视频细分:对最新进展,技术和分类的系统评价

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Now a days as the multimedia technologies being advances more video data is being produced and stored daily which requires a lot of storage and complex video processing techniques. Video segmentation is a technique to extract useful segments from the video which can be used to develop various video processing based algorithms like video searching, video recommendation, video retrieval, surveillance etc. A lot of progress has been done in this area and researchers are still working due to the uncertain complexity of videos like motion of camera and object movement can impact the quality of video. Due to this evolving research area this paper discusses state of the art techniques for video segmentation. Then work done in past seven years which deals with various challenges in segmentation like motion blur, moving background, focusing, lighting has been analyzed. The paper is concluded with the future directions for the development of efficient algorithms for video segmentation.
机译:如今,随着多媒体技术的发展,每天都会产生和存储更多的视频数据,这需要大量的存储和复杂的视频处理技术。视频分割是一种从视频中提取有用的片段的技术,可用于开发各种基于视频处理的算法,例如视频搜索,视频推荐,视频检索,监视等。在这一领域已经取得了许多进展,研究人员仍在继续由于不确定的视频复杂性(例如摄像机的运动和物体的运动)而进行工作会影响视频的质量。由于这个不断发展的研究领域,本文讨论了视频分割的最新技术。然后分析了过去7年中完成的工作,这些工作涉及细分中的各种挑战,例如运动模糊,运动背景,聚焦,照明。本文总结了开发有效的视频分割算法的未来方向。

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