Real-Time Foveation Techniques for Low Bit Rate Video Coding. , Brian L. Evans, and Alan C. Bovik. Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA. [email protected]@ece.utexas.edu.
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:Shizhong Liu, Alan C. BovikPublish Year:2005 · Using this, a wavelet based foveation image coding algorithm is applied, whereby the encoded bitstream is ordered to optimize foveated visual quality at arbitrary bit-rates.
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· Foveation can be defined as the organic action of directing the gaze towards a visual region of interest to acquire relevant information selectively. With the recent advent of event cameras, we believe that taking advantage of this visual neuroscience mechanism would greatly improve the efficiency of event data processing. Indeed,
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Foveated image and video coding systems achieve increased compression efficiency by removing considerable high-frequency information redundancy from the regions away from the fixation point without significant loss of the reconstructed image or video quality. The human visual system (HVS) is highly space-variant in sampling, coding, processing, and
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Image and video coding is an optimization problem. A successful image and video coding algorithm delivers a good tradeoff between visual quality and other coding performance measures, such as compression, complexity, scalability, robustness, and security. In this paper, we follow two recent trends in image and video coding research. One is to
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Foveation refers to a decrease in the acuity with angular distance in the human visual system [Guenter et al. 2012]. Foveated rendering leverages this feature of the human visual system to se-lectively render a small fraction of the graphics frame in fine detail. Authors’ addresses: Susmija Jabbireddy, University of Maryland, College Park
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DOI: 10.1109/ICME.2007.4284648 Corpus ID: 20141071 Objective Perceptual Video Quality Measurement using a Foveation-Based Reduced Reference Algorithm @article{Meng2007ObjectivePV, title={Objective Perceptual Video Quality Measurement using a Foveation-Based Reduced Reference Algorithm}, author={Fang Meng and
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· To foveate an image is to sample or filter the image in a manner similar to the foveation of the human eye. Figure 14.1 shows an example of a foveated image. A foveated algorithm is an algorithm that is developed to cope with, or take advantage of, foveated images. Download : Download full-size image. Figure 14.1.
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· Foveation is a technique that allows real-time image processing by drastically reducing the amount of visual data without loosing essential information around some focused area. When a robot needs to pay attention at two or more regions of the image at the same time, e.g., for tracking two or more objects, multifoveation is
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· FMSE also utilizes the effect of additional spatial acuity reduction due to motion in a video sequence. (SSIM) and the foveation-based sensitivity function Sf, outperforms SSIM as well as VQM and MS- SSIM metric
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· to existing standards-in the range of 50% bit-rate reduction for equal perceptual video foveated visual quality at arbitrary bit-rates. A foveation-based image quality metric, namely, foveated
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In this paper, we propose a new wavelet-based video coding technique called foveation scalable video coding (FSVC), which is a highly rate scalable video coding method that attempts to optimize visual quality at arbitrary bit rate within the bandwidth range. A a l
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· This paper presents a perceptual H.264/A VC video coding method. based on a foveated just-noticeable-distortion (JND) model. Since. the perceptual acuity decreases with the increased eccentricity
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:Publish Year:2020FoveationFoveation, which is non-uniform resolution perception of the visual stimulus by the HVS due to the non-uniform density of photoreceptor cells in the eye, has been demonstrated to
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· Abstract. Foveated rendering adapts the image synthesis process to the user’s gaze. By exploiting the human visual system’s limitations, in particular in terms of reduced acuity in peripheral vision, it strives to deliver high-quality visual experiences at very reduced computational, storage, and transmission costs.
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:Hongwei Lin, Xiaohai He, Linbo Qing, Qizhi Teng, Songfan YangPublish Year:2019 · Foveation, which is non-uniform resolution perception of the visual stimulus by the HVS due to the non-uniform density of photoreceptor cells in the eye, has been
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· In this paper, we propose an embedded foveation image coding (EFIC) algorithm, which orders the encoded bitstream to optimize foveated visual quality at arbitrary bit-rates. A foveation-based
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· TLDR. A foveation scalable video coding (FSVC) algorithm which supplies good quality-compression performance as well as effective rate scalability, and is adaptable to different applications, such as knowledge-based video coding and video communications over time-varying, multiuser and interactive networks. Expand. View on PubMed.
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What links here Related changes Upload file Special pages Permanent link Page information Cite this page Get shortened URL Download QR code 16:1 compression. Foveated image with fixation point at Stephen F. Austin statue. Foveated imaging is a digital image processing technique in which the image resolution, or amount of detail, varies across
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based video coding techniques for low bit rate video coding, such as the H.263 or MPEG-4 video coding standards, without incurring prohibitive complexity overhead. We
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· 55. Video Bit Reduction Based on Foveation 56. Soft Computing Techniques for Scene Cut Detection from MPEG Compressed Video 57. Web-Based Image Authentication using Invisible Fragile Watermark 58. Information Hiding and Detection using Steganography
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· In this paper, we propose a perceptually lossless image compression method based on H.265/HEVC intra coding technique and the foveated Just-Noticeable-Difference (FJND) model. H.265/HEVC, which means high efficiency video coding, was jointly developed by ISO/IEC Moving Picture Experts Group (MPEG) and ITU-T Video
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· A foveated-rendering image of the full resolution is recovered in the panel by means of multi-output driving shift registers that can apply the same gate pulses to multiple lines and line times can be extended to 330.0% and 476.2%. This paper introduces a foveation-based driving scheme that can extend line times for high-resolution and
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· The rate shaper is designed based on an experimental-proven foveation model, and achieve rate reduction by eliminating DCT coefficients embedded in MPEG bitstreams. Considering human perceptual property and user specific need can help to reduce the bandwidth requirement for streaming compressed videos over networks. In
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· Traditional video compression methods remove spatial and temporal redundancy based on the signal statistical correlation. However, to reach higher compression ratios without perceptually degrading the reconstructed signal, the properties of the human visual system (HVS) need to be better exploited. Research effort has been
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· A new limit is proposed that promises theoretically achievable data reduction ratios up to approximately 9:1 with no perceptual loss in typical scenarios and a novel Gaussian foveation scheme that provides experimentally achievable gains up to about 2 times the compression ratio of typical compression schemes with less perceptual
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Lossy video compression methods often rely on modeling the abilities and limitations of the intended receiver, the human visual system (HVS), to achieve the highest possible compression with as little effect on perceived quality as possible. Foveation,
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· Significant bit rate reductions can be achieved by foveation for video sequences that have high motion and high spectral information, such as detail and strong edges (Table 3, Table 4). Spatial domain foveation produces lower bit rates than DCT
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15, NO. 11, NOVEMBER 2005 1365 A Practical Foveation-Based Rate-Shaping Mechanism for MPEG Videos Chia-Chiang Ho, Member, IEEE, Ja-Ling Wu, Senior Member, IEEE, and Wen-Huang Cheng, Student Member, IEEE
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:Foveation TechniquesLow Bit Rate Video CodingIn this paper, we propose an adaptive downsampling-based coding model to improve the low-bitrate compression efficiency of high-efficiency video coding (HEVC). At the
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