使用基于内容的自动分割和形状自适应DCT的低比特率视频编码器

R. Mathur, P. Chandra, S. Gupta
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引用次数: 1

摘要

开发基于内容的视频分割一直是处理界的努力方向。即将视频中的所有对象分离成不同的视频对象平面(VOPs),并生成分层的比特流,其中每个比特流对应于视频中的单个对象平面。这项工作致力于实现上述目标。它与MPEG-4的目标是同步的。我们提出了一种通用的鲁棒分割算法。我们的算法不假设任何被分割对象的先验建模,此外,由于在两个级别上实现压缩,生成的比特率很低。首先,只对图像中跨帧变化的区域进行编码和传输。其次,使用一种称为形状自适应DCT的灵活的DCT编码对提取的图像部分进行压缩。通常,在视频会议应用中,其目标是最小化传输带宽,该算法产生非常理想的结果。
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A low bit rate video coder using content-based automatic segmentation and shape-adaptive DCT
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.
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