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Complexity-Aware Frame-Level Bit Allocation and Rate Control for H.264 Scalable Video Coding

並列摘要


This study aimed to investigate efficient bit-allocation and rate-control methods for H.264 scalable video encoders. We first presented a new bit-allocation algorithm at the frame level for H.264 temporal scalability. Additional to the target bit-rate and buffer occupancy, the temporal hierarchical level and visual complexity were considered for determining the bit budget of a frame. This bit-allocation scheme was followed by a quantization parameter (QP) estimation procedure to achieve the desired bit-rate. We improved the conventional QP assignment by identifying and correcting inappropriate QP values due to incorrect visual complexity prediction. Furthermore, the proposed bit-allocation and rate-control algorithm for temporal scalability was seamlessly integrated with spatial/quality scalabilities to offer flexible bit-rate/quality combinations. Rate-control performance of an investigated method was extensively evaluated in the accuracy of produced bit rates, rate-distortion behavior, and stability of the decoder’s buffer occupancy. Experimental results showed that the proposed algorithm achieved accurate bit-rates, prevented buffer overflow and underflow, and simultaneously produced more favorable and stable visual quality as compared to the state-of-the-art approaches in the literature.

被引用紀錄


王昱偉(2006)。針對與運動比賽精彩畫面相關串場效果之偵測〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917343027
陳建昌(2007)。植基於串場效果偵測與內容分析之棒球比賽精華擷取系統〔碩士論文,國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0207200917350669
黃才瀚(2013)。基於格拉姆施密特演算法之多使用者多輸入多輸出系統之使用者選擇演算法〔碩士論文,國立中正大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0033-2110201613555178

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