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Appendix E
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In the case of interframe prediction, the decoder uses the received motion vectors to perform the same prediction operation that took place in the encoder. The prediction errors are summed with the results of motion-compensated prediction to produce pixel values.
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Spatial and Signal-to-Noise Scalability
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Because MPEG-2 was designed in anticipation of the need for handling different picture sizes and resolutions, including standard definition television and high-definition television, provisions were made for a hierarchical split of the picture information into a base layer and two enhancement layers [10]. In this way, standard definition television (SDTV) decoders would not be burdened with the cost of decoding an HDTV signal. An encoder for this scenario could work as follows. The HDTV signal would be used as the starting point. It would be spatially filtered and subsampled to create a standard resolution image, which then would be MPEG-encoded. The higher definition information could be included in an enhancement layer.
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Video and Audio Compression
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Another use of the hierarchical split would be to provide different picture quality without changing the spatial resolution. An encoder quantizer block could realize both coarse and fine filtering levels. Better error correction could be provided for the more coarse data, so that as signal strength weakened (assuming terrestrial transmission) a step-by-step reduction in the picture signal-to-noise ratio would occur in a way similar to that experienced in broadcast analog signals today. Viewers with poor reception, therefore, would experience a more graceful degradation in picture quality instead of a sudden dropout. These enhancement techniques can also work with streaming, where the base and enhancement layers are transmitted as discrete streams. If the transmission bandwidth reduces, due to network clogging, for example, the enhancement streams could be discarded without the viewer losing the picture, even though the picture quality would visibly degrade.
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MPEG-4 Video Compression
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MPEG-4 builds upon the video and audio compression tools developed for MPEG-2, extending the concept of a video frame to arbitrary-shaped video object planes (VOPs). Thus I-frames, P-frames, and B-frames become IVOPs, P-VOPs, and B-VOPs. Groups of Pictures (GOP) become Groups of Video planes (GOV). MPEG-4 also allows for the composition of scenes, comprising a multiplicity of video planes arranged according to a scene description. The scene is rendered in the MPEG-4 decoder for presentation to the user, from a number of elemental streams, which represent each video object plane and are synchronized at the receiver in a layer that interfaces the transport mechanisms to the video scene decoder. MPEG-4 also provides a number of tools to synthesize both audio and video at the decoder, using parametric descriptions. It can combine these synthetic elements with natural elements in a common scene. There are also tools for interactivity, allowing the viewer to change the position of elements in the scene, their own viewpoint, or the acoustic properties of the scene, among others. For the purposes of this discussion, we will describe only those aspects of MPEG-4 that concern the representation of natural video, by way of continuing our examination of the development of key techniques for video compression.
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Very Low Bit Rate Video (VLBV)
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Appendix E
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One of the goals of the MPEG-4 standard was to provide a universal toolkit of video compression techniques that could serve a wide variety of applications, including mobile video conferencing, using very low bandwidth links. This led to the development of the very low bit rate video (VLBV) core. The VLBV code allows the coding of video between 5 kilobits and 64 kilobits per second, with low spatial resolution (typically up to CIF resolution) and low frame rates (up to 15 frames per second). VLBV confines itself to conventional rectangular image sequences. MPEG-4 can encode low motion video contents such as talking heads with long predictive sequences to substantially reduce the bitrate. As an example, a SQCIF resolution video sequence (160 120) can be coded at rates between 12 kilobits per second and 28 kilobits per second by using 120-frame, predictive-coded sequences at frame rates of 5 frames per second to 15 frames per second.
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