机构

• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 软件研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [3]
• 期刊论文 [1]

发表日期

• 2016 [1]
• 2012 [1]
• 2009 [2]

学科主题

• Computer S... [1]
• Engineerin... [1]

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Evaluate mobile video quality in hybrid spatial and temporal domain 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 卷号: 75, 期号: 22, 页码: 14507-14524 作者:  Chen, Chao;  Ji, Wen;  Rho, Seungmin;  Chen, Bo-Wei;  Chen, Yiqiang   |  收藏  |  浏览/下载：25/0  |  提交时间：2019/12/13 Multimedia  Scalable video  Signal processing   towards scalable processing for a large-scale ride sharing service 会议论文  OAI收割 IEEE 9th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 9th International Conference on Autonomic and Trusted Computing (ATC), Fukuoka, JAPAN, SEP 04-07, 2012 Jin Beihong; Hu Jiafeng   |  收藏  |  浏览/下载：47/0  |  提交时间：2013/09/22 Pub/Sub  trajectory matching  ride sharing service  scalable processing   Joint transform correlator based on joint image feature extraction using swarm intelligence method (EI CONFERENCE) 会议论文  OAI收割 2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 An image feature extraction method based on Swarm Intelligence is used in the preprocessing of joint image in joint transform correlator. The Swarm Intelligence based image processing method is superior to the conventional image processing method in its robust  flexible  fault tolerant  scalable  and highly parallelizable characteristic. The output results from the classical JTC without image preprocessing and the JTC with Sobel operator based joint image feature extraction are compared with that of the JTC when using the Swarm Intelligence to extract the feature of joint image. Experiment results show the performance improvement of JTC using the feature extraction method based on Swarm Intelligence. 2009 IEEE.   Design and Implementation of a Scalable General High Performance Remote Sensing Satellite Ground Processing System on Performance and Function 会议论文  OAI收割 Computational Science - Iccs 2009, Berlin Li, Jingshan; Liu, Dingsheng 收藏  |  浏览/下载：24/0  |  提交时间：2014/12/07 parallel computing  remote sensing  data processing system  clusters  computing  scalable