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

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Content-Adaptive Rate-Quality Curve Prediction Model in Media processing System

Content-Adaptive Rate-Quality Curve Prediction Model in Medi...

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IEEE visual communications and image processing (VCIP)

作者： Shibo Yin Zhiyu Zhang Peirong Ning Qiubo Chen Jing Chen Quan Zhou Guo Lu Li Song Xiaohongshu Inc China Shanghai Jiao Tong University China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

In streaming media services, video transcoding is a common practice to alleviate bandwidth demands. Unfortunately, traditional methods employing a uniform rate factor (RF) across all videos often result in significant inefficiencies. Content-adaptive encoding (CAE) techniques address this by dynamically adjusting encoding parameters based on video content characteristics. However, existing CAE methods are often tightly coupled with specific encoding strategies, leading to inflexibility. In this paper, we propose a model that predicts both RF-quality and RF-bitrate curves, which can be utilized to derive a comprehensive bitrate-quality curve. This approach facilitates flexible adjustments to the encoding strategy without necessitating model retraining. The model leverages codec features, content features, and anchor features to predict the bitrate-quality curve accurately. Additionally, we introduce an anchor suspension method to enhance prediction accuracy. Experiments confirm that the actual quality metric (VMAF) of the compressed video stays within ±1 of the target, achieving an accuracy of 99.14%. By incorporating our quality improvement strategy with the rate-quality curve prediction model, we conducted online A/B tests, obtaining both +0.107% improvements in video views and video completions and +0.064% app duration time. Our model has been deployed on the Xiaohongshu App.

关键词： Radio frequency image coding Accuracy Codecs visual communication Transcoding Streaming media Predictive models Feature extraction Testing

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An Improved Fuzzy Algorithmic Approach Applying on Medical image to Improve the Contrast

An Improved Fuzzy Algorithmic Approach Applying on Medical I...

引用

International Wireless communications and Mobile Computing conference, IWCMC

作者： Min Wu Mathematics and Computer Institute Guangdong Ocean University Zhanjiang China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Noise led from nodes of medical imaging system and underexposure or overexposure will make the image be in a low contrast. In this paper we try to enhance the image contrast with a method of digital image processing. We present an improved fuzzy algorithmic approach on the basis of the conventional Pas. S. K algorithm. Processed by this improved algorithm, the imperceptible information can be avoided to lose when the planar space of original image is transformed to the fuzzy space. And special experiment has been carried out to demonstrate the effect of this approach applying on the X-ray roentgenoscopy image of animal carotid, which is obtained by a homemade instrument and convert to digital signal with an image-collecting card. We find that both images processed with the conventional algorithm and the improved algorithm can provide more details than the original one. While percent of the zero gray pixels of the image processed with the conventional algorithm is much more (to reach 12.3%) than that with the improved algorithm (6.2%) by analyzing with visual C++ image process program, indicating a more loss of information caused by the forcible process of making some image elements equal to zero. Thus it can be concluded that the improved algorithm seems to be more distinct than the conventional one.

关键词： Biomedical imaging image enhancement image quality Histograms Biomedical image processing Fuzzy sets Manganese

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In Which images Does This Corner Appears? A Novel Approach for Three-Dimensional Query of Historical Photographs Collections in Urban Heritage Research 2nd

In Which Images Does This Corner Appears? A Novel Approach f...

引用

2nd International conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019

作者： Suazo, Antonio Centro Nacional de Conservación y Restauración 683 Recoleta St Santiago Chile

ISBN: (纸本)9783030931858

In order to improve the cataloging and search of historical photographs available in public online archives, recent advances support for spatially orienting images in a three-dimensional environment to freely explore these collections, thus addressing navigation issues. However, common search tasks still depend on the traditional approach based on text descriptions and keywords. To overcome this, a novel approach is proposed for querying images based on recovered 3d spatial data. By projecting image pixels over the surface of reconstructed geometry from depicted objects, a resulting point cloud is stored and queried by a search volume, retrieving 3d points and so the associated images. The proposal and its potential are validated through a specific case study from the field of urban history, a dilapidated building located in Santiago of Chile, and its associated photographic collections. Finally, the results obtained are discussed, the types of queries that the system allows, and some limitations identified. The conclusion shows that a new set of possibilities emerges, which allows interrogating images with specific tools and functions derived from a 3d spatial database, improving the access and use of collections for historical research with three-dimensional interest. © 2021, Springer Nature Switzerland AG.

关键词： Query processing

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image Enhancement for High-Resolution visual Contents

Image Enhancement for High-Resolution Visual Contents

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International conference on Electronics, Information and communications (ICEIC)

作者： Heunseung Lim Jaehee Lee Hyuncheol Kim Heungmin Oh Joonki Paik The Graduate School of Advanced Imaging Science Multimedia & Film Chung-Ang University Seoul Korea 4by4 Incorporated Pixell Lab Seoul Korea The Graduate School of Artificial Intelligence Seoul Korea

This paper proposes an image enhancement method using gamma neural networks and exponential transformation. When acquiring an image, degradation occurs in very many imaging systems, and the quality of the image acquired by surrounding environmental factors decreases due to the combination of deteriorating elements. Alternatively, work that facilitates post-treatment may be performed by artificially deteriorating for post-treatment directly. However, if the information on these additional tasks is not known, there is a problem that the post-processing process is expensive or additional degradation occurs. To solve this problem, this paper uses a neural network that estimates gamma maps through residual learning for images that require post-processing, and finally applies exponential transformations to perform contrast improvement. The contrast improvement method proposed through the experimental results provides an image with less color distortion compared to the existing method.

关键词： Degradation visualization image color analysis Neural networks Imaging Distortion Environmental factors

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Learning Matching Behavior Differences for Compressing Vehicle Re-identification Models

Learning Matching Behavior Differences for Compressing Vehic...

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IEEE visual communications and image processing (VCIP)

作者： Yi Xie Jianqing Zhu Huanqiang Zeng Canhui Cai Lixin Zheng College of Engineering Huaqiao University China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

Vehicle re-identification matching vehicles captured by different cameras has great potential in the field of public security. However, recent vehicle re-identification approaches exploit complex networks, causing large computations in their testing phases. In this paper, we propose a matching behavior difference learning (MBDL) method to compress vehicle re-identification models for saving testing computations. In order to represent the matching behavior evolution across two different layers of a deep network, a matching behavior difference (MBD) matrix is designed. Then, our MBDL method minimizes the L1 loss function among MBD matrixes from a small student network and a complex teacher network, ensuring the student network use less computations to simulate the teacher network's matching behaviors. During the testing phase, only the small student network is utilized so that testing computations can be significantly reduced. Experiments on VeRi776 and VehicleID datasets show that MBDL outperforms many state-of-the-art approaches in terms of accuracy and testing time performance.

关键词： Training Testing Probes image coding Loss measurement Computational modeling Trajectory

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New visual coding exploration in MPEG: Super-multiview and free navigation in free viewpoint TV 27

New visual coding exploration in MPEG: Super-multiview and f...

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27th Annual Stereoscopic Displays and Applications conference, SD and A 2016

作者： Lafruit, Gauthier Domański, Marek Wegner, Krzysztof Grajek, Tomasz Senoh, Takanori Jung, Joël Kovács, Péter Tamás Goorts, Patrik Jorissen, Lode Munteanu, Adrian Ceulemans, Beerend Carballeira, Pablo García, Sergio Tanimoto, Masayuki Université Libre de Bruxelles Belgium Poznań University of Technology Poland National Institute of Information and Communications Technology Japan Orange Labs France Holografika Hungary Hasselt University Belgium Vrije Universiteit Brussel Belgium Universidad Politécnica de Madrid Spain Nagoya Industrial Science Research Institute Japan

ISO/IEC MPEG and ITU-T VCEG have recently jointly issued a new multiview video compression standard, called 3D-HEVC, which reaches unpreceded compression performances for linear, dense camera arrangements. In view of supporting future high-quality, auto-stereoscopic 3D displays and Free Navigation virtual/augmented reality applications with sparse, arbitrarily arranged camera setups, innovative depth estimation and virtual view synthesis techniques with global optimizations over all camera views should be developed. Preliminary studies in response to the MPEG-FTV (Free viewpoint TV) Call for Evidence suggest these targets are within reach, with at least 6% bitrate gains over 3D-HEVC technology. © 2016 Society for Imaging Science and Technology.

关键词： Stereo image processing

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Acoustic and visual Information Fusion of Unmanned Surface Vehicles

Acoustic and Visual Information Fusion of Unmanned Surface V...

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IEEE International conference on Signal processing, communications and Computing (ICSPCC)

作者： Ruoxi Hou Xingyue Zhou Wutao Yin School of Marine Science and Technology Northwestern Polytechnical University Xi'an Shaanxi China Key Laboratory of Ocean Acoustics Ocean Institute Northwestern Polytechnical University Suzhou Jiangsu China

ISBN: (数字)9798350366556

ISBN: (纸本)9798350366563

In many scenarios, sensors installed in USV scan only detect either the above-water or underwater part of ob-stacles, which leads to errors in obstacle avoidance. In this paper, the obstacle information detected by the sonar and visual camera is used to perform cross-domain data fusion. In low-speed operation mode, the prior binding information (surface and underwater) such as coordinate and direction will be used to match the collected image information (surface and underwater) until the desired matching level is achieved, directly determining the target orientation. When the coordinate matching level falls below the threshold or when the target ID information is missing, data processing module including cluster analysis, confidence filtering, and information entropy assessment will be employed to allocate weights to heterogeneous information, such as the distance and direction of the obstacle. In the fusion model, the Monte Carlo algorithm is applied to calculate the nonsynchronous error between the obstacles detected by the sonar and the visual sensor. Corresponding angle calculations are performed, and the information such as the distance and direction is converted into latitude and longitude coordinates. Compared to the traditional approach of simply merging surface or underwater obstacle information, we have integrated the information of the same obstacle from both above and below the water surface and enhance the reliability and accuracy of decision-making for unmanned surface vehicles.

关键词： visualization Accuracy Monte Carlo methods Signal processing algorithms Clustering algorithms Sensor fusion Sensors Surface treatment Autonomous vehicles Sonar detection

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Application of modern image analysis to quantify dispenser cathode surface condition

Application of modern image analysis to quantify dispenser c...

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International conference on Vacuum Electronics

作者： M. Wijangco T. Grant Communications and Power Industries Inc. Palo Alto CA USA

Summary form only given. One of the primary in-process failure modes for guns in vacuum electron devices (VEDs) is poor or low emission due to smearing the cathode pores closed during the fabrication process. The most widely accepted method for verification of open pores, pore size, and distribution is the scanning electron microscope (SEM). However, visual interpretation of the SEM image is still required. A program was launched to evaluate a non-contact, high throughput, optical inspection system that can be utilized to inspect and quantify the dispenser cathode surface porosity or open surface condition by an image analysis application. This presentation summarizes the results of this project.

关键词： image analysis Cathodes Scanning electron microscopy Inspection Assembly image processing Power industry Testing Digital images image converters

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International Deployment of visual IoT for Disaster Mitigation

International Deployment of Visual IoT for Disaster Mitigati...

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Australasian Telecommunication Networks and Applications conference, ATNAC

作者： Ken T. Murata Kazutaka Kikuta Tsutomu Nagatsuma Hideo Imanaka Praphan Pavarangkoon National Institute of Information and Communications Technology Tokyo Japan School of Information Technology King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

This paper proposes a novel methodology that utilizes a newly developed visual Internet of Things (IoT) system for resilient natural disaster mitigation. This system enables the detection of disasters through remote control functions integrated with visual IoT sensors and artificial intelligence (AI)-based image processing of images captured by these sensors. The system is designed using commercial off-the-shelf (COTS) components to reduce installation costs, making it feasible for deployment worldwide, including in developing countries. In 2023, the proposal for this system was presented to the ITUD with the aim of widespread implementation in developing nations. The paper introduces innovative methodologies for visual IoT in international disaster mitigation, accompanied by use cases and detailed technological insights.

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Disparity compensation of light fields for improved efficiency in 4D transform-based encoders

Disparity compensation of light fields for improved efficien...

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IEEE visual communications and image processing (VCIP)

作者： João M. Santos Lucas A. Thomaz Pedro A. A. Assuncao Luis A. da Silva Cruz Luis M. N. Tavora Sergio M. M. Faria Instituto de Telecomunicações Portugal University of Coimbra Coimbra Portugal ESTG Polytechnic of Leiria Leiria Portugal

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

Efficient light field encoders take advantage of the inherent 4D data structures to achieve high compression performance. This is accomplished by exploiting the redundancy of co-located pixels in different sub-aperture images (SAIs) through prediction and/or transform schemes to find a m ore compact representation of the signal. However, in image regions with higher disparity between SAIs, such scheme's performance tends to decrease, thus reducing the compression efficiency. This paper introduces a reversible pre-processing algorithm for disparity compensation that operates on the SAI domain of light field data. The proposed method contributes to improve the transform efficiency of the encoder, since the disparity-compensated data presents higher correlation between co-located image blocks. The experimental results show significant improvements in the compression performance of 4D light fields, achieving Bjontegaard delta rate gains of about 44% on average for MuLE codec using the 4D discrete cosine transform, when encoding High Density Camera Arrays (HDCA) light field images.

关键词： image coding Cameras Transform coding Codecs Redundancy Prediction algorithms Encoding

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