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检索条件"任意字段=Conference on Visual Communications and Image Processing"

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Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization

Bit Distribution Study and Implementation of Spatial Quality...

引用

2024 conference on visual communications and image processing

作者： Jia, Panqi Mao, Jue Koyuncu, Esin Koyuncu, A. Burakhan Solovyev, Timofey Karabutov, Alexander Zhao, Yin Alshina, Elena Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Nurnberg Germany Tech Univ Munich Chair Media Technol Munich Germany Huawei Technol Shenzhen Peoples R China

ISBN: (纸本)9798331529543;9798331529550

Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate faster coding speeds on devices compared to the hand-crafted transforms used in classical frameworks. The scientific and industrial communities are highly interested in these properties, leading to the standardization effort of JPEG-AI. The JPEG-AI verification model has been released and is currently under development for standardization. Utilizing neural networks, it can outperform the classic codec VVC intra by over 10% BD-rate operating at base operation point. Researchers attribute this success to the flexible bit distribution in the spatial domain, in contrast to VVC intra's anchor that is generated with a constant quality point. However, our study reveals that VVC intra displays a more adaptable bit distribution structure through the implementation of various block sizes. As a result of our observations, we have proposed a spatial bit allocation method to optimize the JPEG-AI verification model's bit distribution and enhance the visual quality. Furthermore, by applying the VVC bit distribution strategy, the objective performance of JPEG-AI verification mode can be further improved, resulting in a maximum gain of 0.45 dB in PSNR-Y.

关键词： Learned image Compression JPEG-AI bit rate matching algorithm optimization

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Comparison of the State-of-the-Art image and Video Quality Assessment Metrics 29

Comparison of the State-of-the-Art Image and Video Quality A...

引用

29th IEEE conference on Signal processing and communications Applications (SIU)

作者： Akkaya, Emre Ozbek, Nukhet Ege Univ Muhendislik Fak Elekt Elekt Muhendisligi Bolumu Izmir Turkey

ISBN: (纸本)9781665436496

Today, thanks to the developing technology, changes are experienced in many areas and these changes sometimes bring some problems, issues that need to be solved or improved. In the field of digital image and video processing, the viewer experience has been greatly improved with the development of image and video coding methods and technologies in recent years. However, due to these developments, the importance of video and image quality evaluation techniques has increased. In the field of imaging technology, although the human visual system and human judgment experiments will give us the most accurate results, this rapidly growing field has made human judgment experiments unsuitable with the increasing content. At this point, effective and automatic quality assessment metrics are needed to evaluate and optimize advanced compression technologies in terms of visual perception quality. In this paper, our aim is to compare the performances of some of the new generation image and video quality assessment metrics.

关键词： human visual system traditional image&video quality metrics the state-of-the-art image and video quality metrics

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Color Enhancement for V-PCC Compressed Point Cloud via 2D Attribute Map Optimization

Color Enhancement for V-PCC Compressed Point Cloud via 2D At...

引用

2024 conference on visual communications and image processing

作者： Bao, Jingwei Liu, Yu Li, Zeliang Zhu, Shuyuan Yeung, Siu-Kei Au Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China Hong Kong Metropolitan Univ Sch Sci & Technol Hong Kong Peoples R China

ISBN: (纸本)9798331529543;9798331529550

Video-based point cloud compression (V-PCC) converts the dynamic point cloud data into video sequences using traditional video codecs for efficient encoding. However, this lossy compression scheme introduces artifacts that degrade the color attributes of the data. This paper introduces a framework designed to enhance the color quality in the V-PCC compressed point clouds. We propose the lightweight de-compression Unet (LDC-Unet), a 2D neural network, to optimize the projection maps generated during V-PCC encoding. The optimized 2D maps will then be back-projected to the 3D space to enhance the corresponding point cloud attributes. Additionally, we introduce a transfer learning strategy and develop a customized natural image dataset for the initial training. The model was then fine-tuned using the projection maps of the compressed point clouds. The whole strategy effectively addresses the scarcity of point cloud training data. Our experiments, conducted on the public 8i voxelized full bodies long sequences (8iVSLF) dataset, demonstrate the effectiveness of our proposed method in improving the color quality.

关键词： Point cloud compression image restoration Transfer learning Point cloud reconstruction

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NATURAL imageS SCALE INVARIANCE AND HIGH-FIDELITY image RESTORATION

NATURAL IMAGES SCALE INVARIANCE AND HIGH-FIDELITY IMAGE REST...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Guo, Hongwei Jiang, Feng Liu, Shaohui Zhao, Debin Harbin Inst Technol Sch Comp Harbin 150006 Peoples R China

ISBN: (纸本)9781479902880

One of the most striking properties of natural image statistics is their scale invariance. Intuitively, a natural image always contains the same contents of different scales and dually the same contents of same scale exist throughout scales of the image. Different from the previous scale invariance related work decomposing an image to its local band-pass filter components, this paper seeks a general model of the natural image paths distribution to describe the scale invariance in the visual world and then a novel strategy for high-fidelity image restoration is presented by characterizing nonlocal self-similarity of natural images throughout scales in a unified statistical manner, which offers a powerful mechanism of combining natural images scale invariance and nonlocal self-similarity simultaneously to ensure a more reliable and robust estimation. Extensive experiments on image restoration from partial random samples manifest that the proposed algorithm achieves significant performance improvements over the current state-of-the-art schemes.

关键词： scale invariance Gaussian Mixture Model image restoration similar patches

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image-Prompt Integration Network with Self-Ranking and Inter-Ranking Loss for AI-Generated image Quality Assessment

Image-Prompt Integration Network with Self-Ranking and Inter...

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2024 conference on visual communications and image processing

作者： Zhou, Tianwei Yao, Xizhang Tan, Songbai Ding, Xiaoying Yue, Guanghui Shenzhen Univ Coll Management Shenzhen Peoples R China Zhongnan Univ Econ & Law Sch Informat Engn Wuhan Peoples R China Shenzhen Univ Sch Biomed Engn Shenzhen Peoples R China

ISBN: (纸本)9798331529543;9798331529550

AI-generated images (AGIs) are increasingly utilized across diverse domains due to their ability to quickly produce high-quality visuals. However, assessing the quality of AGIs remains challenging due to their inherent variability and distinctive distortions. To address these challenges, we propose a novel AGI quality assessment method named SIRQA, which enhances feature representation by integrating visual features with textual prompts, effectively measureing the alignment between the generated images and the described content to improve the precision of quality assessment. Specifically, SIRQA employs self-ranking and inter-ranking mechanisms to refine feature representation. The self-ranking mechanism maintains consistency between feature distances and sampling scales, making sure that features from similar sampling scales are positioned closer together. Additionally, inter-ranking mechanism sorts the weighted similarity scores between images and prompts to align with the ranking in the label space. Extensive experiments on the AGIQA3K and PKUI2IQA datasets show that our SIRQA outperforms eight state-of-the-art algorithms in terms of both Spearman's rank correlation coefficient (SRCC) and Pearson linear correlation coefficient (PLCC).

关键词： AI-generated images image quality assessment multi-scale feature image-prompt integration

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THE ROLE OF visual ATTENTION IN THE AESTHETIC APPEAL OF CONSUMER imageS: A PRELIMINARY STUDY

THE ROLE OF VISUAL ATTENTION IN THE AESTHETIC APPEAL OF CONS...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Redi, Judith A. Povoa, Isabel Delft Univ Technol NL-2600 AA Delft Netherlands

ISBN: (纸本)9781479902880

Predicting the aesthetic appeal of images is of great interest for a number of applications, from image retrieval to visual quality optimization. In this paper, we report a preliminary study on the relationship between visual attention deployment and aesthetic appeal judgment. In particular, we seek to validate through a scientific approach those simplicity and compositional rules of thumb that have been applied by photographers and modeled by computer vision scientists in computational aesthetics algorithms. Our results provide a confirmation that both simplicity and composition matter for aesthetic appeal of images, and indicate effective ways to compute them directly from the saliency distribution of an image.

关键词： Aesthetic appeal visual attention visual quality image saliency

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Asymmetric Stereoscopic Video Encoding Algorithm Based On Subjective visual Characteristic

Asymmetric Stereoscopic Video Encoding Algorithm Based On Su...

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International conference on Wireless communications and Signal processing

作者： Liu, Shu Liu, Feng Fan, Jingjing Xia, Hongfei Nanjing Univ Posts & Telecommun Image Proc & Image Commun Jiangsu Key Lab Nanjing Peoples R China ZTE Telecom Co Ltd Nanjing Peoples R China

ISBN: (纸本)9781424448562

In traditional asymmetric stereo video encoding scheme, one eye is represented with high quality sequence, the other eye is represented with lower quality one. However, if the low quality view is the observer's dominant eye, the masking effect will not work. Based on this human visual characteristic, this paper proposed a GOP-based resolution cross-switching asymmetric encoding scheme. By allocating degradation to both of views in a balanced way over time, our experimental results show better compression efficiency than JMVM reference software and better subjective visual quality than the traditional asymmetric stereo video encoding scheme. Our stereo video coding scheme can be a trade-off between compression performance and subjective visual quality.

关键词： stereoscopic video subjective visual characteristic asymmetric encoding GOP-based resolution cross-switch

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Looking for intelligent image treatment and manipulation: An information processing approach

Looking for intelligent image treatment and manipulation: An...

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Joint Meeting of the 14th International Workshop on Systems, Signals and image processing/EURASIP conference Focused on Speech and image processing, Multimedia communications and Services

作者： Diamant, Emanuel VIDIA Mant IL-55100 Kiriat Ono Israel

ISBN: (纸本)9789612480363

We are living in the Information Age, and information has become a critically important component of our life. Due to the success of the Internet, the amount of available information, including immense volumes of visual information, is growing explosively. Therefore means for its faultless circulation and handling are urgently required. Considerable research efforts are dedicated today to address this necessity, but they are seriously hampered by the lack of a common agreement about "What actually is visual information?" Without answering this question, all our remarkable efforts inevitably end up as a plain alchemy. I am trying to rind out a remedy for this bizarre and absurd situation. I propose my own definition of information (derived from the Kolmogorov's complexity theory), and from this point of view, attempt to revise the state of the art of contemporary image processing convention.

关键词： visual information image information processing image understanding CBIR and image search

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ISDN AUDIO COLOR-GRAPHICS TELECONFERENCING SYSTEM

ISDN AUDIO COLOR-GRAPHICS TELECONFERENCING SYSTEM

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CONF ON visual communications AND image processing : image processing

作者： OYAIZU, I TANAKA, K YAMAGUCHI, T MIYABO, K TAKAHASHI, M NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819407437

An audio-graphic teleconferencing system has been developed that uses ordinary personal computers (PCs) interconnected over a basic rate (2B+D) ISDN line. The system supports high-speed transmission of 200-dpi resolution documents read by an optical scanner and presented on the displays of the conference participants. While looking at the same material, the conferees can interactively converse and make handwritten notations for all the participants to see on the document via a LCD tablet. This paper describes the configuration and performance of the system, focusing mainly on the ISDN-based multi-media transmission method and the method of reducing and enlarging binary images.

关键词： Signal processing image processing Tablets Data communications Data conversion LCDs Computing systems visual communications Telecommunications Data modeling

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Patch-Based image Deblocking Using Geodesic Distance Weighted Low-Rank Approximation

Patch-Based Image Deblocking Using Geodesic Distance Weighte...

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IEEE visual communications and image processing conference

作者： Li, Mading Liu, Jiaying Ren, Jie Guo, Zongming Peking Univ Inst Comp Sci & Technol Beijing 100871 Peoples R China

ISBN: (纸本)9781479961399

Transform coding based on the discrete cosine transform (DCT) has been widely used in image coding standards. However, the coded images often suffer from severe visual distortions such as blocking artifacts. In this paper, we propose a novel image deblocking method to address the blocking artifacts reduction problem in a patch-based scheme. image patches are clustered and reconstructed by the low-rank approximation, which is weighted by the geodesic distance. Experimental results show that the proposed method achieves higher PSNR than the state-of-the-art deblocking and denoising methods and the processed images present good visual quality.

关键词： image deblocking patch-based low-rank approximation geodesic distance reconstruction

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