Arama Sonuçları

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  • Yayın
    Fast inter-mode decision and selective quarter-pel refinement in H.264 video coding
    (IEEE, 2008) Ateş, Hasan Fehmi
    In H.264 video coding standard, there exist several inter - prediction modes that use macroblock partitions with variable block sizes. Choosing a rate-distortion optimal coding mode for each macroblock is essential for the best possible coding performance, but also prohibitive due to the heavy computational complexity associated with the required rate-distortion calculations. Likewise, sub-pel motion refinement improves the coding efficiency, but becomes a major computational bottleneck when integer-pel search is executed fast. In this paper, we present a simple strategy to reduce the complexity of quarter-pel refinement and inter-mode decision with minimum loss of coding efficiency. Based on the results of the half-pel motion estimation step, our method evaluates the likelihood of each inter-coding mode being optimal. Then, quarter-pel refinement and actual rate and distortion are computed for only those coding modes with sufficient chance of being optimal. We claim that this method minimizes optimal mode estimation error at a given level of refinement and mode decision complexity. Simulation results show that the algorithm speeds up quarter-pel search and inter-mode selection modules by a factor of about 6 with less than 0.12 dB PSNR loss.
  • Yayın
    QoS-constrained core selection for group communication
    (IEEE, 2005) Karaman, Ayşe; Hassanein, Hossam
    The core-based approach in multipoint communication enhances the solution space in terms of QoS-efficiency of solutions in inter and intra-domain routing. In an earlier work [KH04], we showed that the constrained cost minimization solutions in core-based approach proposed to date are restrictive in their search to a subrange of solutions, and we proposed SPAN, a generic framework to process in our identified extended solution space. In this paper, we study the core selection component of SPAN and propose two novel algorithms, SPAN/COST and SPAN/ADJUST, which define the core-selection component of SPAN. SPAN/COST mainly optimizes the cost distances to be traveled between the source-core and core-receiver pairs on the multicast trees, while SPAN/ADJUST selects the cores based on the numbers of nodes they dominate and adjusting the set based on cost. Our algorithms consistently outperform their counterparts proposed to date and can be considered pioneering in their optimization range of multiple metrics and processing in the extended solution space.