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The ongoing research on Distributed Video Coding (DVC) is focused on flexibility and increased rate distortion (RD) performance. Besides Slepian-Wolf (SW) coding and coder control, a good side information (SI) quality is essential for high RD performance. The SI is typically extracted by temporal inter-/extrapolation. Fast motion is still a challenge. Two global motion guided adaptive temporal inter-/extra-polation...
This paper addresses the memory bandwidth problem of motion estimation in resource limited mobile video applications by an integrated bandwidth rate distortion optimization framework. The simulation result shows up to 86% bandwidth saving while keeps equivalent rate-distortion (R-D) performance and meets real time target compared with H.264 reference software for low motion CIF size video. For high...
Motion estimation is the most computationally intensive part in a typical video encoder. This paper introduces a novel prediction method based on multiple search centers, which can efficiently improve the prediction accuracy. According to the amount and the magnitude of predictive search centers, the search range is dynamically adjusted in order to reduce the computational complexity. Based on multiple...
Super-resolution and frame interpolation enhance low resolution low-framerate videos. Such techniques are especially important for limited bandwidth communications. This paper proposes a novel technique to up-scale videos compressed with H.264 at low bit-rate both in spatial and temporal dimensions. A quantisation noise model is used in the super-resolution estimator, designed for low bitrate video,...
In this paper, a hardware-efficient fast algorithm with a lossless frame recompression scheme for large search range (SR) motion estimation (ME) utilized in ultra high definition video encoder is presented. To ensure high ME quality for hierarchical motion search, the advanced hierarchical ME scheme which processes the multi-resolution search with a coarse-to-fine strategy in parallel is proposed...
This paper introduces a new approach to motion compensated prediction for video compression. A two-way motion compensation approach is utilized in which the motion compensated prediction is generated either from a super resolution mosaic accumulated using a number of previously decoded frames or from a low-resolution reference frame. The super resolution mosaic is constructed using our improved global...
This paper proposes a group of macroblock (GOMB) based motion estimation (ME) algorithm supporting adaptive search range (ASR) for H.264 video coding. Adopting the concept of GOMB to generate the Predicted Motion Vector (PMV) for doing H.264 ME achieves good results in balancing the computational complexity, video quality and memory bandwidth. Moreover, it supports adaptive search range (ASR) in doing...
An adaptive search range (SR) selection algorithm in motion estimation for video encoding is proposed in this work with an objective to achieve excellent coding performance with reduced memory access bandwidth. In modern fast motion search algorithms, a motion vector predictor (MVP) is obtained from the motion vectors (MVs) of spatially and temporally neighboring blocks, which is called the predictive...
In hardware implementation of a video coding system memory access becomes a critical issue and the motion estimation (ME) module is the one which consumes most of the data access. To meet the requirements of HD specification, conventional data reuse schemes are not sufficient. In this paper, the hierarchical approach to ME is combined with the Level C and D data reuse schemes. Proposed two-level hierarchical...
The inter motion estimation and intra motion estimation are most important and widely used prediction techniques in various kinds of video standards. However, inter and intra predictions are rarely considered together since the contents used for reference by these 2 predictions are different. As most of the previous works focus on either inter or intra or reluctantly combining inter/intra together,...
In this paper, we propose a fast multi-layer motion estimation algorithm for spatial scalability provided in H.264/AVC scalable extension, based on the reuse of the motion vectors from multiple spatial layers. The reused motion vector is used to set a search center and refined within a small search area. However, the reused motion vector often produces significant prediction error at object boundaries...
Motion estimation process is the most computational and memory intensive component in video encoders. However, traditional motion estimation algorithms focus on rate and distortion performance and do not take memory bandwidth into consideration. As a result, its performance will be degraded under bandwidth constraint environment. In this paper, a bandwidth-rate-distortion optimized motion estimation...
This paper proposes a functionally layered video coding for robot vision network. Video signals from mobile robots are regularly transmitted to a remote robot. It uses the video to estimate locations of each of the mobile robots. As the need arises, a person browses the video to check the scenery. In such occasion, the functionally layered video coding regularly transmits the minimum components necessary...
Motion estimation consumes most of the computational time in video coding system since the matching between blocks should be carried out on numerous search points (SPs). Adaptive Search Range (ASR) schemes, as one kind of fast ME algorithms, are widely used to reduce the SPs. However, all of the so-called ASR schemes are applied on the precondition that there already has a fixed benchmark SR (bm-SR)...
With the advent of new video standards such as H.264/AVC, the demands for low-complexity advanced video coding (AVC), particularly for the subfunction of variable block searching motion estimation, is increasingly important for efficient system designs. The motion estimation needs heavy computations and many external memory accesses which are the main sources of the system complexity and power consumption...
This paper proposed a superresolution (SR) reconstruction method by combining the cross-diamond-hexagonal search (CDHS) block-matching algorithm (BMA) and the simple block-wise motion vector selection (BWMVS) strategy to obtain stable and high quality reconstruction results. The experimental results showed that the reconstruction quality of CDHS BMA is comparable with full search BMA but the computation...
The search range (SR) parameter plays an important role in motion estimation (ME) for video coding. Adaptively adjusting SR according to the information given by previously encoded syntax element, also known as adaptive search range (ASR) algorithm, can efficiently reduce the computational complexity of ME. Compared with heuristic search pattern (HSP) algorithms like diamond/hexagon search, ASR algorithms...
Many scalable video coding systems use frame down- sampling in order to reduce complexity and to enable enhancement layers. Super-resolution (SR) can be used to help the up-sampling and recovering processes of those frames. We are interested in reversed-complexity (distributed) coding methods, wherein few key frames are encoded at normal resolution, while the rest are down- sampled and encoded at...
The MPEG-4 video coding standard introduces a novel concept of sprite or mosaic that is a large image composed of pixels belonging to a video object visible throughout a video segment. The sprite captures spatio-temporal information in a very compact way and makes it possible for efficient object-based video compression. In this paper, we propose a practical approach to generating multiple super-resolution...
The temporal correlation between adjacent video frames poses a severe challenges for video watermarking applications. Motion-coherent watermarking has been recognized as a strategy to embed watermark information in video frames, resistant to collusion attacks. The motion-compensated temporal wavelet transform (MC-TWT) provides an efficient tool to separate static and dynamic components of a video...
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