Nonlinear fuzzy rule-based approach for estimating video traffic rate

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Nonlinear fuzzy rule-based approach for estimating video traffic rate

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Published

The authors investigate a fuzzy logic-based video rate control technique which aims to regulate compressed video to a constant transmission rate, without incurring objectionable quality degradation. Conventional fuzzy rule-based control (FRC) does not adequately control the output video quality. Video information is therefore added into the FRC design by incorporating feed-forward scaling factors, derived from scene change features. The performance of this coder has been compared with other approaches measuring buffer occupancy, the number of coded bits per frame and peak signal-to-noise ratio.

Inspec keywords: feedforward; fuzzy logic; video coding; data compression; knowledge based systems

Other keywords: quality degradation; constant transmission rate; peak signal-to-noise ratio; FRC design; scene change features; feed-forward scaling factors; compressed video; nonlinear fuzzy rule-based approach; buffer occupancy; video traffic rate

Subjects: Computer vision and image processing techniques; Knowledge engineering techniques; Codes; Optical information, image and video signal processing

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