2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)最新文献

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Fast Algorithm Design of HEVC Intra Prediction HEVC内预测的快速算法设计
Guo Fengwei, Cheng Yong, Xiao Shuai
{"title":"Fast Algorithm Design of HEVC Intra Prediction","authors":"Guo Fengwei, Cheng Yong, Xiao Shuai","doi":"10.1109/IDITR54676.2022.9796501","DOIUrl":"https://doi.org/10.1109/IDITR54676.2022.9796501","url":null,"abstract":"In order to reduce the complexity of intra prediction for High Efficiency Video Coding(HEVC), this paper proposes an early termination algorithm for Coding Units (CUs) and a fast mode selection algorithm for Prediction Units (PUs) based on statistical analysis. The early termination algorithm is to calculate the distribution of rate-distortion cost under different quantization parameters (QPs), obtain the correlation between size and rate-distortion cost, and set the rate-distortion cost threshold of the coding unit to perform early termination division. The fast mode selection algorithm uses the distribution characteristics of the best mode and the correlation of the Hadamard transform cost between adjacent angle modes to filter the number of modes that enter the Rough Mode Decision(RMD) and the Detailed Mode Decision(DMD). Experimental results show that compared with HM16.7, the algorithm in this paper can reduce the coding time by about 44% under the premise of ensuring performance","PeriodicalId":111403,"journal":{"name":"2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121408526","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
Data Analysis and Visualization Application Research on Popular Scenic Spots in China 中国热门景区数据分析及可视化应用研究
Lanlan Zhang, Li Li, G. Shi
{"title":"Data Analysis and Visualization Application Research on Popular Scenic Spots in China","authors":"Lanlan Zhang, Li Li, G. Shi","doi":"10.1109/IDITR54676.2022.9795933","DOIUrl":"https://doi.org/10.1109/IDITR54676.2022.9795933","url":null,"abstract":"With the continuous improvement of people’s living standards, tourism has gradually become one of the important ways for people to relax and entertain. The demand of tourists for attractions is constantly changing with the further development of tourism. In order to better show users with travel plans more intuitive information about scenic spots and make them easy to use, crawler technology based on the Scrapy [1] framework is adopted in this paper in order to crawl the information of attraction on Qunar tourism website and save it in MySQL database, then the relevant data obtained will be cleaned and analyzed and the data visualization will be realized by using Echarts [2] and Wordcloud methods. Finally, the combination of Flask, a lightweight web framework, and front-end will be used to complete the data visualization platforms [3]–[5], so as to promote users’ visual perception of data in an intuitive and efficient way.","PeriodicalId":111403,"journal":{"name":"2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125655315","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: 0
A Research Of Target Passive Tracking Method Based On Multiple Autonomous Underwater Vehicles 基于多自主水下航行器的目标被动跟踪方法研究
Liang Li, Yiping Li, J. Zeng, Gaopeng Xu, Yuexing Zhang, Xisheng Feng
{"title":"A Research Of Target Passive Tracking Method Based On Multiple Autonomous Underwater Vehicles","authors":"Liang Li, Yiping Li, J. Zeng, Gaopeng Xu, Yuexing Zhang, Xisheng Feng","doi":"10.1109/IDITR54676.2022.9796479","DOIUrl":"https://doi.org/10.1109/IDITR54676.2022.9796479","url":null,"abstract":"Passive sonar is widely used for underwater target tracking which has the advantages of long work distance and excellent concealment, so it has a widespread use in military and civil fields. In this paper, a target passive tracking method based on multiple autonomous underwater vehicles (AUV) is proposed. Passive sonar is utilized to detect and locate the target, and AUV's autonomy and good maneuverability are used to track the target. Firstly, a target tracking method with a single AUV is introduced in detail. Then, a target tracking method with multiple AUVs is proposed including the communication mode between AUVs, a cooperatively target localization method, and the motion control strategy of target tracking. Finally, the two methods are validated and compared by lake experiment. Experimental results show that using multiple AUVs to locate and track the target can track the target movement trajectory better. The method proposed has the advantages of high accuracy, good real-time performance, and strong robustness.","PeriodicalId":111403,"journal":{"name":"2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129502109","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: 0
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