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Object tracking in compressed MPEG video bitstream.

机译:压缩的MPEG视频比特流中的对象跟踪。

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Given that video is stored efficiently in a compressed format, the costly overhead of decompression can be reduced by analyzing the compressed representation directly. Performing analysis in the compressed domain reduces the amount the data, which keeps the storage costs of the resulting feature set low.; Moving Picture Experts Group (MPEG) has developed the following generic audio-video standards to date: MPEG-1, MPEG-2, MPEG-4 MPEG-7 and MPEG-21. MPEG video compression is used in many current and emerging products. It is at the heart of digital television set-top boxes, DSS, HDTV decoders, DVD players, video conferencing, Internet video, and other applications. These applications benefit from video compression in the fact that they may require less storage space for archived video information, less bandwidth for the transmission of the video information from one point to another, or a combination of both. While MPEG-1 was developed for storage and retrieval of moving pictures and audio on storage media, MPEG-2 targeted higher quality and bandwidth applications like digital television.; This thesis evaluates the efficacy of using MPEG encoded video as a means for more efficient object tracking. Real-time MPEG encoding of video is available in hardware and the compressed data stream produced contains tracking information as a by-product of the encoding process. Our interest here is to quantify and extract that data in real-time and determine if the procedure represents a viable approach to object tracking against existing techniques.
机译:假定视频以压缩格式有效存储,则可以通过直接分析压缩表示形式来减少解压缩的开销。在压缩域中执行分析会减少数据量,从而使生成的功能集的存储成本保持较低水平。迄今为止,运动图像专家组(MPEG)已开发出以下通用音频视频标准:MPEG-1,MPEG-2,MPEG-4,MPEG-7和MPEG-21。 MPEG视频压缩已用于许多当前和新兴产品中。它是数字电视机顶盒,DSS,HDTV解码器,DVD播放器,视频会议,Internet视频和其他应用程序的核心。这些应用程序受益于视频压缩,因为它们可能需要更少的存储空间来存储已存档的视频信息,或者需要更少的带宽来将视频信息从一个点传输到另一点,或者将两者结合起来。 MPEG-1是为在存储媒体上存储和检索运动图像和音频而开发的,而MPEG-2则针对更高质量和带宽的应用,例如数字电视。本文评估了使用MPEG编码视频作为更有效的对象跟踪方法的有效性。视频的实时MPEG编码可通过硬件获得,并且产生的压缩数据流包含跟踪信息,这些信息是编码过程的副产品。我们的兴趣是实时量化和提取该数据,并确定该过程是否代表一种可行的方法来针对现有技术进行对象跟踪。

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