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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 increasing resolutions combined with storage and processing limitations of mobile devices point to the need for new compression techniques for video coding. Meanwhile, to achieve higher compression rates without compromising quality, the coding process becomes more and more complex. In reference software of HEVC the most time consuming step is the execution of Motion Estimation (ME), which is...
Energy efficiency has become a primary concern in the design of multimedia digital systems, particularly when targeting mobile devices. Approximate computing is a highly promising approach to address this challenge. This paper presents an architectural exploration in a variable block size motion estimation (VBSME) architecture using imprecise Lower-Part-OR Adders (LOA). These adders were applied to...
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...
Block-based motion estimation is the method of choice in most video codecs to exploit temporal redundancy for compression. Since true rate-distortion evaluation for every candidate block is usually impractical, simple estimates are used instead as a matching criterion, e.g., the Sum of Absolute Differences (SAD) between the target and the candidate blocks weighted by its respective motion vector cost...
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...
In this paper, the high throughput hardware architecture is designed to calculate the Sum of Absolute Difference (SAD) based on the variable block size of the image. Even though the fixed block size motion estimation is simple with respect to the complexity of the variable block size motion estimation, variable block size estimation technique results in exquisite performance. Motion estimation is...
The latest video coding standard, HEVC, uses quarter pixel motion vector (MV) resolution for motion compensation. The adaptation of MV resolution supported by PMVR (progressive MV resolution) brings further improvement of the performance, by progressively adjusting the resolution according to the distance between the MV and the MV predictor (MVP). In this work, we propose to improve PMVR by adapting...
Emerging high-efficiency video coding (HEVC) outperforms H.264 by a gain of 50% bitrate reduction while maintaining almost the same perceptual quality. However, it induces higher coding complexity due to its adoption of recursive block partitioning mechanism in motion estimation (ME) with a fixed search range. For an objective of reducing the computational burden in HEVC, this paper proposes an adaptive...
This paper presents an algorithm that achieves high quality video compression with low memory bandwidth of reference frame data and latency due to computation in motion estimation for screen content. Efficiency is attained by content-adaptive placement of the search windows within the reference frames. In our scheme, the center location of the search window is decided by k most prominent motion vectors...
High Efficient Video Coding (HEVC) improves coding efficiency but suffers from high computational complexity due to its quad-tree partitioning structure in motion estimation (ME). In recent development of 3D video technology, depth map from the 3D video provides an intimation of the objects' distance from the projected screen in a 3D scene, which inspires the authors to explore the adaptive search...
The rich choice of hierarchical partitioning modes within the coding tree unit (CTU) in the high efficiency video coding (HEVC/H.265) standard is the main reason for its higher coding efficiency, as well as its high computational complexity. The single most timing consuming process in H.265/HEVC is motion estimation (ME). In this paper, to accelerate the ME process, we propose an efficient parallel...
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...
In this paper, an efficient motion estimation method for quadtree plus binary tree (QTBT) structure is presented for JVET future video coding (FVC). To exploit the possibility to design a new coding standard better than HEVC, an activity called future video coding has been active in MPEG and VCEG. One of the most influential new technologies proposed for FVC is QTBT structure, which can give more...
In this paper, a MV derivation method based on the idea of frame rate up-conversion (FRUC) is proposed. When a block is signaled as FRUC mode, the motion information of the block is derived without signaling. Moreover, derived MVs are refined at sub-block level for more accurate motion field. In addition, two matching methods, i.e., bilateral matching and template matching are supported to obtain...
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...
Weighted prediction (WP) is an efficient tool for encoding of video with brightness variations, if WP parameters can be estimated accurately. In this paper, an improved estimation method for WP parameters of advanced video coding system (AVS) is proposed. To find a best matching block in reference for current block to be encoded, a motion search scheme is presented. Each block in a searching window...
In the HEVC standard, motion estimation is one of the most complex task of the video encoder, requiring a great percentage of the encoding time mainly due to (a) a large set of Coding Tree Unit partitioning modes, (b) the presence of multiple reference frames, and (c) the varying size of Coding Units in comparison with its predecessor H264/AVC. In addition, HEVC adopts Variable Block Size Motion Estimation...
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 proposes an error resilience framework that can be devised to compress HDR (High Dynamic Range) video content using HEVC (High Efficiency Video Coding) codec. The proposed method predicts the most robust motion vectors, coding modes and decoder concealment methods under erroneous environments considering the Perceptually Uniform (PU) domain quality impact. Results show that an average of...
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