A Study on Camera Work Extraction Technology from Compressed Image Information.
A Study on Camera Work Extraction Technology from Compressed Image Information.
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压缩图像信息中相机作品提取技术的研究。
DOI：
10.3169/itej.53.1439
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
S. Nakano
中科院分区：
文献类型：
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作者：
Yang Yang;S. Nakano
为了有效地编辑和索引可能从大量视频数据中请求的图像，对视频序列进行结构化是很重要的。结构化的一种方法是将一系列图像划分为固定的单元，例如切割点或相机工作，然后根据单元进行检索。提出了一种自动提取相机工作序列的方法。具体来说，本文以未来可能成为主流的MPEG 2编码视频数据为研究对象。为了减少要处理的数据量，以消除解码所需的时间，并避免由于解码的视频丢失，我们估计相机的工作使用提取的运动矢量，用于运动补偿过程。所提出的方法提取的运动矢量使用运动补偿。为了识别每一帧中的摄像机工作，我们还提出了一种算法，用于提取每个摄像机的工作序列。使用不同测试视频序列的MPEG2编码图像数据证实了该方法的有效性。
It is important to structure video sequences for efficiently editing and indexing the images that may be requested from an enormous volume of video data. One approach to structuring is to divide a series of images into fixed units such as cut points or camera work, and then retrieving against the units. This paper proposes a method of automatically extracting camera work sequences. Specifically, in this paper, MPEG2, which can be mainstream in future, coded video data is targeted. To reduce the volume of data to be processed, to eliminate the time need for decoding, and to avoid video loss due to decoding, we estimate the camera work using the extracted motion vectors which used in the motion compensation process. The proposed method extracts the motion vectors using motion compensation. To recognize the camera work in each frame, we also present an algorithm for extracting each camera work sequence. The efficiency of the method is confirmed using MPEG2 coded image data of diverse test video sequences.