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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3

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    Multi-objective optimization of scalable video encoding
    (IEEE, 2007) Department of Electrical and Electronics Engineering; N/A; Tekalp, Ahmet Murat; Abanoz, Tenzile Berkin; Faculty Member; Master Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 26207; N/A
    The compression efficiency of a scalable bitstream depends on the encoding configuration and on what combination of scalability types are used. Moreover, the wider the range of extraction points a scalable bitstream supports, the lower the compression efficiency at these extraction points. Therefore, we propose a multiple-objective optimization formulation in order to find the best encoding configuration for a scalable video coding in the existence of a predefined bitrate range. We also define some objective criteria as a measure of coverage, compression efficiency and rate distortion performance of a configuration.
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    Optimal selection of encoding configuration for scalable video coding
    (IEEE, 2007) N/A; Department of Electrical and Electronics Engineering; Abanoz, Tenzile Berkin; Tekalp, Ahmet Murat; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 26207
    It is well-known that the wider the range of extraction points a scalable bitstrearn supports, the lower the compression efficiency at these extraction points. Moreover, this compression efficiency generally varies according to what combination of scalability types are used to support this range of extraction points as specified by the encoding configuration. Hence, we propose some objective criteria as a measure of coverage, compression efficiency and rate-distortion performance of a configuration, and then present a multiple-objective optimization formulation to select the best encoding configuration for scalable video coding, given a range of bitstreams that must be supported. the method is demonstrated by experimental results.
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    SVC-based scalable multiple description video coding and optimization of encoding configuration
    (Elsevier, 2009) N/A; Department of Electrical and Electronics Engineering; Abanoz, Tenzile Berkin; Tekalp, Ahmet Murat; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 26207
    It is well known that multiple multicast trees can avoid single point of failures in peer-to-peer (P2P) streaming originating from a single source by providing path diversity. Multiple description video coding is well suited for serving video over multiple multicast trees, such that each description can be streamed over a different tree. In scalable multiple description coding (SMDC), each description is scalable coded (e.g., derived from a single scalable video coding (SVC)-compliant bitstream) so that descriptions can be efficiently adapted to the available rate of each link for effective congestion control. This paper proposes (i) new SMDC generation methods based on various combinations of video segments (GOPs or fames) coded at high and low rates (one or more layers) and (ii) a multiple-objective optimization (MOO) framework for selection of the best encoding configuration of the proposed SMDC from a set of candidates in order to achieve the best tradeoff between redundancy and reliability (measured by end-to-end rate-distortion performance over a range of extraction points for a set of packet loss probabilities), while maximizing the range of extraction points of each scalable description. The optimization is performed over selected SVC encoding parameters and MD generation alternatives that feature various levels of redundancy at a fixed total rate for all descriptions. The framework is generic to allow optimization over other SVC encoding variables and MD generation methods, or just over the SVC encoding variables without MD, if desired. Results of Monte-Carlo simulation of SMDC streaming with two descriptions over two paths with packet losses are provided to demonstrate performance of the proposed methods.