Titlebook: Rate-Quality Optimized Video Coding; Yoo-Sok Saw Book 1999 Springer Science+Business Media New York 1999 MPEG.Standard.Standards.algorithm

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Non-Stationary Nature of Digital Videoo may contain a wide variety of content: conversational scenes, entertainment video, surveillance, synthetic images such as computer graphics. The nature of digital video can be described broad-band as the quality of video sequence may vary dramatically. For example, while conversational scenes usua

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Rate-Quality Control in International Standardsos, etc. Visual representations differ from one another in respect of spatial resolution, quantisation resolution and temporal (picture) rate. They have different data rates depending on the required quality and the mode of access: storage or transmission. Real-time digital video contains moving ima

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Quantiser Control for Rate-Quality Optimisatione transmission buffering technique is widely used for traffic management as well as video rate control. In this chapter, first, algorithmic features of the buffer-based rate control technique will be investigated, which are specified in international standards. This will be followed by a review of q

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Linear Predictive Video Rate Estimation and Controleration. The a priori information is given by a set of scene change features. This scheme is based on a feed-forward control technique to handle the non-stationary nature of video. The scene change features are selected and applied to the adaptation of the quantisation scale.

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978-1-4613-7332-2Springer Science+Business Media New York 1999

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Nonlinear Predictive Video Rate Estimation and ControlIn Chapter 4 the contribution of scene change features and nonlinear quantisation control functions was evaluated in respect of the proposed video rate control scheme. The technique was a linear adaptive control which exploited the predictive nature of the video rate using scene change feature information.

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