机构

• 长春光学精密机械与物... [4]
• 自动化研究所 [4]
• 金属研究所 [1]
• 心理研究所 [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [6]
• 会议论文 [4]
• 学位论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2019 [1]
• 2017 [2]
• 2012 [2]
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学科主题

筛选

浏览/检索结果: 共11条，第1-10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 A High-Quality Adaptive Video Reconstruction Optimization Method Based on Compressed Sensing 期刊论文  OAI收割 CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2023, 卷号: 137, 期号: 1, 页码: 363-383 作者:  Zhang, Yanjun;  He, Yongqiang;  Zhang, Jingbo;  Zhao, Yaru;  Cui, Zhihua   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/11/17 Compressed sensing  OPBS  block-level search window  nearby reference frame information  evolutionary algorithm   Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1089-1102 作者:  Hu, Juan;  Liao, Xin;  Wang, Wei;  Qin, Zheng   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/06/06 Videos  Information integrity  Feature extraction  Streaming media  Faces  Forensics  Social networking (online)  Video forensics  compressed Deepfake videos  frame-level stream  temporality-level stream   Which Information Frame is Best for Reporting News on the COVID-19 Pandemic? An Online Questionnaire Study in China 期刊论文  OAI收割 PSYCHOLOGY RESEARCH AND BEHAVIOR MANAGEMENT, 2021, 卷号: 14, 页码: 563-574 作者:  Kuang, Yi;  Xu, Ming-Xing;  Yang, Shu-Wen;  Ding, Yang;  Zheng, Rui   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/06/21 COVID-19  information frame  perception  emotion   An FPGA-Based Ultra-High-Speed Object Detection Algorithm with Multi-Frame Information Fusion 期刊论文  OAI收割 SENSORS, 2019, 卷号: 19, 期号: 17, 页码: 16 作者:  Long, Xianlei;  Hu, Shenhua;  Hu, Yiming;  Gu, Qingyi;  Ishii, Idaku   |  收藏  |  浏览/下载：78/0  |  提交时间：2019/12/16 ultra-high-speed vision  object detection  field-programmable gate array  histogram of oriented gradient  multi-frame information fusion model   Three-dimensional object recognition using an extensible local surface descriptor 期刊论文  OAI收割 OPTICAL ENGINEERING, 2017, 卷号: 56, 期号: 12, 页码: 13 作者:  Lu, Rongrong;  Zhu, Feng;  Wu, Qingxiao;  Hao, Yingming   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/02/02 three-dimensional object recognition  local feature  local reference frame  photometric information   Three-dimensional object recognition using an extensible local surface descriptor 期刊论文  OAI收割 OPTICAL ENGINEERING, 2017, 卷号: 56, 期号: 12, 页码: 1-13 作者:  Wu QX(吴清潇);  Zhu F(朱枫);  Lu RR(鲁荣荣);  Hao YM(郝颖明)   |  收藏  |  浏览/下载：26/0  |  提交时间：2018/02/04 three-dimensional object recognition  local feature  local reference frame  photometric information   基于多模态关联分析的新闻视频标注与检索 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院大学, 2012 作者:  张师林 收藏  |  浏览/下载：100/0  |  提交时间：2015/09/02 跨媒体  关联分析  视频检索  关键帧  视觉词袋模型  语音识别  文字识别  多模态融合  图模型  命名实体  cross media  association analysis  video retrieval  key frame  bag of words model  speech recognition  optical character recognition  multi-modal information fusion  graph model  name entity   Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文  OAI收割 2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China 作者:  Wang Y.-Q. 收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25 Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.   Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文  OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者:   收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.   A deep-space trail forecast method based on the enlargement of field of view (EI CONFERENCE) 会议论文  OAI收割 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China Han Q.; Yao Z.; Zhu M. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 During the procedure of target tracing  lots of stars will cross the field of view. These stars will disturb the procedure and  the precision of system will be degraded. At the same time  because the optical surveillance system is limited by environment  the targets are often covered by clouds. The above situations will seriously degrade the system's robustness  and once the target is disappeared  the traditional system can't track the target again. Traditional forecast methods merely use coder information  so the precision is low. In order to upgrade the precision  we combine the coder information and the missdistance to forecast the next frame target position. The method is based on field range enlargement. Proved by practical experiments  this method can effectively improve the robustness of the target tracking system. 2006 IEEE.