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A low bit rate video coder using content-based automatic segmentation and shape-adaptive DCT

机译:使用基于内容的自动分段和形状自适应DCT的低比特率视频编码器

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It has been the endeavour of the processing community to develop content-based segmentation of video. That is, to separate out all the objects in the video into distinct video object planes (VOPs) and generate a layered bit-stream wherein each bit-stream corresponds to an individual object plane in the video. This work aspires towards the above goals. It is in synchrony with the targets of MPEG-4. We propose a general and robust algorithm for segmentation. Our algorithm does not assume any prior modelling of the objects being segmented, further, the bit rate generated is low as compression is achieved at two levels. Firstly, only the regions of the image that change across frames are coded and transmitted. Secondly, the extracted portion of the image is compressed using a flexible variation of DCT coding called shape-adaptive DCT. Typically, in video-conferencing applications wherein the goal is to minimise the transmission bandwidth, this algorithm produces very desirable results.
机译:处理社区致力于开发基于内容的视频分割。也就是说,将视频中的所有对象分离为不同的视频对象平面(VOP),并生成分层的比特流,其中每个比特流都对应于视频中的单个对象平面。这项工作旨在实现上述目标。它与MPEG-4的目标同步。我们提出了一种通用且鲁棒的分割算法。我们的算法不假定对被分割对象进行任何先验建模,此外,由于在两个级别上实现了压缩,因此生成的比特率很低。首先,仅编码和传输跨帧变化的图像区域。其次,使用称为形状自适应DCT的DCT编码的灵活变化来压缩图像的提取部分。通常,在目标是最小化传输带宽的视频会议应用中,此算法会产生非常理想的结果。

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