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检索条件"任意字段=IEEE Data Compression Conference"

共 16774 条记录，以下是541-550 订阅

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Visual data compression for Metaverse: Technology, Standard, and Challenges

Visual Data Compression for Metaverse: Technology, Standard,...

引用

2023 ieee International conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Chen, Peilin Chen, Bolin Wang, Meng Wang, Shiqi Li, Zhu City University of Hong Kong Kowloon Hong Kong University of Missouri-KC Kansas CityMO64111 United States

ISBN: (纸本)9798350333336

There has been an increasing consensus that the emerging metaverse world relies on high efficiency visual data compression techniques for effective data storage, ultra-low delay interaction and ubiquitous communication. This paper provides a comprehensive survey on the recent advances of the visual data compression technology and standard, which could play essential roles in building the metaverse. In particular, we will review the visual data compression methodologies and standards, and present our vision on how the interactive coding could more efficiently support the metaverse. Finally, we discuss the distinguished requirements and fundamental challenges on the data compression for metaverse, and envision the future technology trend. © 2023 ieee.

关键词： Digital storage

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Reversible data Hiding Scheme Based on Prediction Error Bit-plane compression 21

Reversible Data Hiding Scheme Based on Prediction Error Bit-...

引用

21st ieee International Symposium on Parallel and Distributed Processing with Applications, 13th ieee International conference on Big data and Cloud Computing, 16th ieee International conference on Social Computing and Networking and 13th International conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Yuan, Guo Heng, Chao Ping, Zhai Ziqi, Liu Haibo, Li Wenpeng, Li Heilongjiang University College of Computer Science and Technology Harbin China Qiqihar University College of Computer and Control Engineering Qiqihar China

ISBN: (纸本)9798350329223

How to maximize embedding capacity is one of the current challenges in the field of reversible data hiding. A reversible data hiding scheme is proposed based on the rearrangement and compression of prediction error bit-planes in this paper. The image holder first predicts the pixels to obtain the error map, then decomposes them into bit-planes, rearranges and compresses them to maximize the embedding space, and embeds the auxiliary information and secret information into the freed space according to certain rules to generate a cryptographic image. After acquiring the cryptographic image, the image receiver extracts the embedded secret information and recovers the original image using the auxiliary information. In this paper, a rearrangement strategy based on full pixel correlation was built to maximize compression efficiency and further compress the auxiliary information to free up more embeddable space and improve embedding capacity. A large number of test has revealed that the embedding rate of this method is 30% higher on average than the current state-of-the-art algorithm. © 2023 ieee.

关键词： Pixels

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TizenRT OS Based data compression Algorithms for IoT Devices 4

TizenRT OS Based Data Compression Algorithms for IoT Devices

引用

4th ieee International conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Chamak, Tanmoy Roy Kaushik, Sachi Singhal, Shiven Dadheech, Aditya Anitha, Prof. A. Jenicka, Prof. S. Thapa, Vidisha School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Samsung Research Institute Karnataka Bangalore India

ISBN: (纸本)9798350306118

The paper investigates the integration and adaptation of the LZ4 compression algorithm within the context of TizenRT, in addition to existing algorithms Miniz and LZMA. TizenRT, a real-Time operating system tailored for Internet of Things (IoT) devices, presents unique challenges in balancing compression efficiency and resource constraints. The study evaluates the performance of LZ4 alongside Miniz and LZMA in terms of compression ratios, processing overhead, and memory utilization. Experimental results demonstrate the feasibility of LZ4's adoption in TizenRT, highlighting its potential to enhance data compression and decompression operations while adhering to the stringent requirements of IoT devices. The findings contribute to the optimization of data management strategies within the TizenRT ecosystem. © 2023 ieee.

关键词： Internet of things

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Iterative enhancement scheme of synthesized color and depth images for immersive video system

Iterative enhancement scheme of synthesized color and depth ...

引用

data compression conference (DCC)

作者： Su, Yongquan Liu, Qiong Wu, Kejun Jiang, Gangyi Yang, You Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan Peoples R China Wuhan Natl Lab Optoelect Wuhan Peoples R China Ningbo Univ Fac Informat Sci & Engn Ningbo Peoples R China

Immersive video allows viewers to freely switch the viewpoints. The intensity of realistic experience greatly relies on the quality of synthesized depth maps. However, there exist distorted regions due to inaccurate d... 详细信息

ISBN: (纸本)9781665478939

关键词： Image coding Image color analysis Estimation data compression Switches Iterative methods

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A Novel Telemetry compression Method for Enhancing Network Resilience 26

A Novel Telemetry Compression Method for Enhancing Network R...

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26th conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) - Distributed Intelligence across Network and Edge-to-Cloud Continuum

作者： Martinez-Julia, Pedro Kafle, Ved P. Asaeda, Hitoshi Natl Inst Informat & Commun Technol Network Res Inst Network Architecture Lab 4-2-1 Nukui Kitamachi Koganei Tokyo 1848795 Japan

ISBN: (纸本)9798350398045

Building a network digital twin (NDT) of a virtual network (VN) and using it to analyze the potential what-if situations that might result from an automated decision allows a management system to avoid undesired VN situations. NDTs require as much monitoring information from the VN as possible, and this information must be as fine-grained as possible. Current telemetry systems cannot provide sufficient information without increasing the bandwidth available in the control plane for transmitting monitoring information. In this study, we investigated the structure of monitoring information to design lossy and lossless compression algorithms that can be used to maximize the amount of monitoring information encoded in each telemetry data unit. We evaluated our algorithms to demonstrate that our lossy algorithm can obtain, on average, a compression level higher than 99% with an accuracy higher than 80% and a compression level higher than 95% with an accuracy higher than 93%, whereas the lossless algorithm obtains compression levels of 33% and 20% when telemetry data are split into large and small chunks, respectively.

关键词： Telemetering equipment

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Comparison of data compression Methods for Implanted Real-Time Peripheral Nervous System 2

Comparison of Data Compression Methods for Implanted Real-Ti...

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2nd Edition ieee International conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023

作者： Coviello, Antonio Bersani, Anna Ros, Paolo Motto Del Bono, Fabiana Demarchi, Danilo Spagnolini, Umberto Magarini, Maurizio Politecnico di Milano Department of Electronics Information and Bioengineering Piazza L. Da Vinci 32 Milan20133 Italy Politecnico di Torino Department of Electronics and Telecommunications Corso Duca Degli Abruzzi 24 Turin10129 Italy

ISBN: (纸本)9798350300802

Research in the development of neuroprostheses aims to restore the loss bodily and motor functionalities. In order to have effective solutions, the physiological signals used to control neuroprostheses must be first measured and then properly reconstructed. Miniaturized electronic enables the realization of implantable devices suitable for the treatment of pathologies that cannot be cured with conventional medicine. However, given the limited data processing and transmission capabilities of microcontroller-based implantable devices, data compression algorithms must be developed with minimal distortion upon reconstructions. Although several compression techniques are available in the literature, a suitable strategy for compression of electroneurographic (ENG) signals has not yet been defined so far. The main goal of this work is to propose a pipeline to perform the compression of biomedical data. The approach is validated on available recordings of ENG signals. As main contribution, we applied different compression algorithms to the recorded ENG signals that were obtained in response to mechanical stimulation of a rat paw. A combination of lossy and lossless techniques was studied by measuring the performance in terms of time required for data compression, compression ratio, and distortion. To evaluate the use in real-time applications, the robustness of the techniques has been tested considering a temporal constraint of 300 ms. © 2023 ieee.

关键词： data compression ENG signals real time application sciatic nerve wireless data transmission

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Computing Matching Statistics on Repetitive Texts

Computing Matching Statistics on Repetitive Texts

引用

data compression conference (DCC)

作者： Gao, Younan Dalhousie Univ Halifax NS Canada

ISBN: (纸本)9781665478939

Computing the matching statistics of a string P[1..m] with respect to a text T[1..n] is a fundamental problem which has application to genome sequence comparison. In this paper, we study the problem of computing the matching statistics upon highly repetitive texts. We design three different data structures that are similar to LZ-compressed indexes. The space costs of all of them can be measured by gamma, the size of the smallest string attractor [STOC'2018] and delta, a better measure of repetitiveness [LATIN'2020].

关键词： Costs Genomics data compression Size measurement data structures Indexes Bioinformatics

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Fast Coding of Haar Wavelet Trees

Fast Coding of Haar Wavelet Trees

引用

data compression conference (DCC)

作者： Tarter, Dylan Nutter, Brian Texas Tech Univ ECE Dept MS3102 Lubbock TX 79409 USA

ISBN: (纸本)9781665478939

compression methods that focus on speed and computational efficiency are of particular interest when acquiring real time data. The Backwards Coding of Wavelet Trees (BCWT) algorithm by Guo et al. offers high computational efficiency and high peak signal-to-noise (PSNR) ratios at a high speed. In this paper, the BCWT algorithm is reworked using a Haar Wavelet Transform, rather than Debauchee 9–7, to provide even faster and less complex code at the cost of lower PSNR. While in typical image compression applications this compromise is unfavorable, some real-time data acquisition systems require such improvements and are not significantly impacted by the reduced clarity.

关键词： Wavelet transforms Image coding PSNR Costs Codes data acquisition data compression

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Spherical Codec for V2X Cooperative Awareness Trajectory compression: A Preliminary Study 97

Spherical Codec for V2X Cooperative Awareness Trajectory Com...

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97th ieee Vehicular Technology conference (VTC-Spring)

作者： Thinh Hoang Dinh Martinez, Vincent Delahaye, Daniel Univ Fed Toulouse Midi Pyrenees ANITI Toulouse France NXP Semicond Toulouse France Ecole Natl Aviat Civile Toulouse France

ISBN: (纸本)9798350311143

V2X holds enormous potential in augmenting road traffic safety by broadcasting information such as the position and velocity of the vehicle to others, rendering itself visible to the network even if it is occluded or still far away. However, regular broadcasting of information by many stations may heavily impact the V2X channel. This paper presents a novel algorithm and message format, Spherical Codec, to help compress trajectory data. The codec introduces new data transmission schemes, adaptable to different implementations. By leveraging inference on the functional domain, it is possible to reduce the transmission frequency while sacrificing a similar amount of accuracy to the current ITS-G5 redundancy mitigation standard. As a numerical experiment, the Gaussian-based version of the codec demonstrated a reduction of up to 2 times improvement in total bytes sent, halved average channel loads.

关键词： V2X cooperative awareness trajectory codec compression

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A Novel Hybrid compression Scheme for Lossless Gray Scale Image compression 4

A Novel Hybrid Compression Scheme for Lossless Gray Scale Im...

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4th ieee Global conference for Advancement in Technology, GCAT 2023

作者： Kamatar, Vishwanath S. Baligar, Vishwanath P. Computer Science and Engineering KLE Institute of Technology Hubli India School of Computer Science and Engineering KLE Technological University Hubli India

ISBN: (纸本)9798350305258

In today's world, digital image storage and transmission play an essential role, as images are mainly involved in data transfer. Digital images take more storage space and bandwidth for transmission, so image compression is important in data compression. This paper discusses a unique and novel hybrid lossless image compression approach. Exactly half of the image is encoded with one approach, and other half of image is encoded with other approach. The method uses a block approach. In the first approach, the pixels of the block are transformed with a novel mapping transform. Each pixel nibbles are mapped as a single bits in a transform table generating more zeros, which helps achieve compression. Later, the inverse transform is applied in the reconstruction, and a single bit value from the table is remapped into pixel nibbles. With these nibbles, pixel values of the block are reconstructed without any loss. The block differential encoding approach is used for compression of other half of the image. This approach achieves lossless compression of images. © 2023 ieee.

关键词： Differential encoding image compression JPEG-LS lossless mapping transform

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