2020 International Conference on Intelligent Systems and Computer Vision (ISCV)最新文献_第3页

Effective CU size decision algorithm based on depth map homogeneity for 3D-HEVC inter-coding 基于深度图同质性的3D-HEVC互编码有效CU大小决策算法

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204037

Siham Bakkouri, A. Elyousfi

{"title":"Effective CU size decision algorithm based on depth map homogeneity for 3D-HEVC inter-coding","authors":"Siham Bakkouri, A. Elyousfi","doi":"10.1109/ISCV49265.2020.9204037","DOIUrl":"https://doi.org/10.1109/ISCV49265.2020.9204037","url":null,"abstract":"High efficiency video coding standard-based 3D video (3D-HEVC) is an extension of high efficiency video coding standard (HEVC) to improve the efficiency of the multiview video plus depth (MVD). In 3D-HEVC inter-coding, The quad-tree structure of coding unit (CU) partition supports different sizes from 64×64 to 8×8, namely, CU sizes. The CU partitioning process achieves the highest coding efficiency, but it brings an extremely large encoding time and a large computational complexity occurs which limits the 3D-HEVC encoder from practical applications. In this paper, an early termination of CU size is proposed for dependent views in 3D-HEVC depth map encoding. The proposed algorithm based on homogeneity classification of a depth map CU using an unsupervised classification algorithm. Based on the classification results, the proposed method determines whether a depth CU must be or not be split into smaller sizes. Experimental results show that the proposed approach can achieve a reduction of computational complexity for depth map encoding with a negligible reduction of coding performance.","PeriodicalId":313743,"journal":{"name":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114709010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A Fractal Metamaterial Antenna for Bluetooth, WLAN, WiMAX and X-band Applications 用于蓝牙、WLAN、WiMAX和x波段应用的分形超材料天线

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204208

Mourad Elhabchi, M. N. Srifi, R. Touahni

引用次数: 3

Title Page 标题页

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/iscv49265.2020.9204163

引用次数: 0

Developing Good Habits Using Deep Learning Techniques 使用深度学习技术培养好习惯

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204069

H. Aksasse, B. Aksasse, M. Ouanan

引用次数: 0

Comparison of the different control strategies for Quadrotor Unmanned Aerial Vehicle 四旋翼无人机不同控制策略的比较

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204143

Abdellah Benaddy, M. Bouzi, M. Labbadi

引用次数: 6

Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using Machine Learning 利用机器学习评估视网膜血管分割中的LBP变异

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204176

E. Badeka, Cristina I. Papadopoulou, G. Papakostas

引用次数: 7

A New Cooperative Insurance Based On Blockchain Technology: Six Simulations To Evaluate The Model. 基于区块链技术的新型合作保险:六种模型评估模拟。

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204170

F. Z. Meskini, R. Aboulaich

{"title":"A New Cooperative Insurance Based On Blockchain Technology: Six Simulations To Evaluate The Model.","authors":"F. Z. Meskini, R. Aboulaich","doi":"10.1109/ISCV49265.2020.9204170","DOIUrl":"https://doi.org/10.1109/ISCV49265.2020.9204170","url":null,"abstract":"The paper suggests a model of smart insurance using blockchain technology, which means; adding more transparency, security and rapidity to the services provided by insurance companies. Our model also combines Fintech to Takaful, which is an ethic insurance made of cooperation and solidarity. The idea of this paper is to simulate what we called “smart insurance”, in the software of multi-agent based simulation Netlogo. For this purpose, we are modeling a complex environment made by conventional companies and smart companies, having each specific characteristics, but also policyholders, as dynamic agents able to choose from the alternatives available in the market, according to a weighted decision making matrix. The weights depend on the agent’s type and coefficients are changing over time. We also take into consideration the fact that policyholders are partially influenced by each other and that a loyalty factor comes into play. More than that, we assume that companies evolve in a context of competition. Actually, it is an improved model, more realistic than a previous work in which we explained in details the suggested insurance model, but simulate only a basic scenario; some aspects were neglected for reasons of simplicity. In this paper, we simulate six different scenarios to evaluate the effect of many factors such as imitation, loyalty and competition, and get more reliable results.","PeriodicalId":313743,"journal":{"name":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126089799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Pedagogical efficiency at the ludic level of a serious game 在严肃游戏的搞笑层面上的教学效率

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/iscv49265.2020.9204149

Farida Bouroumane, A. Saaidi, M. Abarkan

引用次数: 0

Augmented reality for children with Autism Spectrum Disorder. A systematic review. 自闭症谱系障碍儿童的增强现实技术。系统回顾。

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204125

R. Mónica, Harari Ivana, Diaz Javier, R. Jorge

引用次数: 1

Modeling and simulation of an evolutionary approach based on MAS strategy: for intelligent energy management in EV 基于MAS策略的电动汽车智能能源管理进化方法建模与仿真

2020 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2020-06-01 DOI: 10.1109/ISCV49265.2020.9204060

Rachid El Amrani, Ali Yahyaouy, H. Tairi

{"title":"Modeling and simulation of an evolutionary approach based on MAS strategy: for intelligent energy management in EV","authors":"Rachid El Amrani, Ali Yahyaouy, H. Tairi","doi":"10.1109/ISCV49265.2020.9204060","DOIUrl":"https://doi.org/10.1109/ISCV49265.2020.9204060","url":null,"abstract":"Electric vehicles and hybrid vehicles have become one of the relevant and sustainable solutions for the transportation of tomorrow. They are the most presenting and studying by the research; seen their advantages in terms of composition and movement. Within this type of vehicles, energy management is a fundamental tool to ensure smooth operation during the rolling cycle, while optimizing available energy sources and even predicting future power demand. This paper proposes a method of optimization and prediction of energy based on the Markov chains. The work requires the development of a suitable system to control the electric model of powertrain: the Electric motor and the Hybrid Electric Source (HES). The given studied vehicle has a HES to processing in real-time. It is, therefore, interesting to define a flexible and fast management system, which can process the available sub-components. We use, therefore, a multi-agent system (MAS) to intelligently manage the available energy in a Fuel Cell (FC) and Super-capacitor (SC). During the simulation stage, we seek to apply an online prediction and see how the system reacts in terms of optimized power. Comparing also the results found by the adopted method to others of the same case studied. This allowing well define the most efficient and suitable laws of management for an HEV.","PeriodicalId":313743,"journal":{"name":"2020 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132032636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2