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In video streaming services limited by network bandwidth such as IPTV services, we present a new bit rate estimation scheme. The proposed scheme estimates the bit rate for each segment in a sequence. To estimate the bit rates, the complexity of each intra-frame is computed as a frame feature. The features are classified as segments using unsupervised clustering. The candidate frames of each segment are used to estimate the bit rate based on a statistical analysis and mathematical model. The proposed scheme can reduce the bit rate while maintaining the target quality in IPTV services.
Date of Conference: 1-3 Feb. 2012