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A new bit rate estimation scheme for unsupervised segmentation of video content in IPTV services

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3 Author(s)
Hye Jeong Cho ; BnC Convergence Center, Kwangwoon Univ., Seoul, South Korea ; Kwangsue Chung ; Seoung-Jun Oh

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.

Published in:

Information Networking (ICOIN), 2012 International Conference on

Date of Conference:

1-3 Feb. 2012

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