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The intense demand for video applications from mobile devices brings a challenge to the hardware design, especially in the energy consumption. This work presents a design space exploration to define energy-efficient cache memory configurations for the ME process considering different video sequences and HEVC encoder configurations. We focus on the Motion Estimation (ME) process, known as the most...
The latest video compression standards, such as the H.264/AVC and the High Efficiency Video Coding (HEVC), provide fast Motion Estimation (ME) algorithms in their reference software aiming at complexity reduction. Test Zone Search (TZS) is the state-of-the-art fast ME algorithm, currently deployed in the reference HEVC encoder due to its great coding efficiency. However, ME is still one of the main...
This work presents the Edge-Aware Depth Motion Estimation (E-ADME), a complexity reduction scheme developed for depth maps coding on 3D High Efficiency Video Coding (3D-HEVC). This scheme focuses on obtaining an execution time reduction while keeping a high quality of the encoded depth map. E-ADME starts classifying each encoding depth block as edge or homogeneous. If the block is classified as an...
High Efficiency Video Coding (HEVC) standard has a superior video compression rate compared with previous H.264/AVC. At the same time, Ultra-high-definition (UHD) video applications are becoming a reality under the development of the display technology. In this paper, a hardware-friendly multi-layer HEVC motion estimation (ME) algorithm for UHD applications are proposed. To keep the computational...
Recently standardized by the Joint Video Team (JVT) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG), the High Efficiency Video Coding (HEVC) was adopted to replace the H264/AVC with better compression performance that facilitates video transmission and storage while maintaining the same reconstructed video quality. This excellent coding efficiency is performed...
High-Efficiency Video Coding (HEVC) is the latest video coding standard of the Joint Collaborative Team on Video Coding (JCT-VC). HEVC noticeably improves compression performance when comparing with previous standards such as H264, providing a major leap forward in video compression technology. However this improvement is achieved increasing the complexity of the encoding process. In this paper an...
This paper presents a parallel motion estimation algorithm on Graphics Processing Units (GPU) with a GPU-based fast Coding Unit (CU) splitting mechanism for speeding up the execution speed of High Efficiency Video Coding (HEVC). Parallel motion estimation algorithms only offer motion vectors to HEVC encoder, but CU splitting decision in HEVC still needs more information to speed up the encoder. Therefore,...
In this paper, we propose an efficient motion estimation hardware architecture for High Efficiency Video Coding (HEVC) using a Modified Reference Data Access Skip (MRDAS) for reducing the minimum memory bandwidth. The memory bandwidth is responsible for the throughput limitations in motion estimation, especially when dealing with high quality video of a large frame size and search range. This architecture...
The demands for high quality multimedia contents and the advent of the Ultra High Definition (UHD) resolution have motivated the development of the High Efficiency Video Coding (HEVC) standard, which outperforms prior standards by up to 50% in terms of coding efficiency. This improvement, however, involves higher computational complexity in the encoder side, making it essential for realtime encoders...
Cloud-based video encoding has become more and more popular in Internet, especially for mobile clients, considering their limited resources. Recently, GPUs (Graphics Processor Units) make the cloud-based video encoding more economic and efficient. However, the motion estimation in inter prediction, which usually occupies about 70% encoding time in H.264/AVC, is still a big headache because of its...
Many fast integer-pixel motion estimation algorithms have been developed for the High Efficiency Video Coding Standard, however the speed of sub-pixel motion estimation still has room for improvement. A fast sub-pixel motion estimation algorithm is proposed in this paper to speed up the sub-pixel search process. First, the proposed scheme skips sub-pixel search process in smooth prediction units....
In video compression, one needs a highly efficient motion estimation algorithm in terms of processing speed. A novel block matching algorithm for motion estimation in a video frame sequence well suited for a high performance VLSI implementation is presented in this project. The algorithm is up to 40% faster when compared to one of the fastest existing algorithms, viz., one-at-a-time step search algorithm...
In this paper, we propose a novel massively parallel motion estimation for HEVC using an efficient yet flexible predicate algorithm, ScalingFast that exploits inter-pixel similarities. When evaluated over four video test video sequences with changing resolution, the proposed algorithm outperforms the anchor algorithm by factor of up to 4.6, with little to no loss in rate-distortion (RD) performance.
HEVC encoders impose several challenges in resource-constrained embedded applications, especially under real-time and battery constraints. This paper proposes a complexity-scalable encoder that is able to achieve considerable time savings while maintaining an efficient rate-distortion-complexity tradeoff. To design the system, a complexity analysis of HEVC-supported parameters as well as new ones...
High Efficiency Video Coding (HEVC/H.265) is an emerging standard for video compression that provides almost double compression efficiency at the cost of major computational complexity increase as compared to current industry-standard Advanced Video Coding (AVC/H.264). In HEVC more flexible coding options and partitioning types are provided for prediction units (PUs) and consequently motion estimation...
We propose a technique for optimizing the High Efficiency Video Coding (HEVC) encoder by reducing the number of operations performed in the motion estimation stage. The technique is based on the fact that a significant number of motion estimation operations are performed repetitively for the same image samples, but for different block partition sizes. By decoupling the initial motion estimation and...
As a fast search algorithm for motion estimation, the unsymmetrical-cross multi-hexagon-grid Search (UMHexagonS) is widely used in H.264. However, the research found that there were some shortages in this algorithm, such as the computational complexity. Based on this, we improve the UMHexagonS algorithm to reduce the computation. By partitioning the search range, we can only search the prediction...
The latest video coding standard High Efficiency Video Coding (HEVC) is developed by Joint Collaborative Team on Video Coding(JCTVC). HEVC can achieve better compression performance than any other coding standards, which adopts the quadtree structured coding tree unit (CTU). In encoding process, the CTU is recursively split into four equally sized coding unit (CU)s. Along with the multiple sizes of...
Motion estimation (ME) in the latest High Efficiency Video Coding standard adopts the quadtree coding structure and up to a $64\times 64$ prediction unit (PU) size to improve the coding gain. However, these techniques also have serious design problems regarding the complexity, data dependency, external memory bandwidth, and on-chip buffer size compared with previous standards, especially for real-time...
In this paper, a novel motion estimation (ME) scheme with efficient memory design is presented for the mobile multimedia applications in H.264/AVC. To obtain the optimal memory usage and achieve better coding quality under volatile system operating conditions, we propose a novel bandwidth-rate-distortion (B-R-D) algorithm by exploring the motion activity properties of various video sequences. This...
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