一种新的基于超字符串的描述符,用于改进运动轨迹的表示和静态摄像机相似视频镜头的检索

C. Chattopadhyay, S. Das
{"title":"一种新的基于超字符串的描述符,用于改进运动轨迹的表示和静态摄像机相似视频镜头的检索","authors":"C. Chattopadhyay, S. Das","doi":"10.1109/EAIT.2012.6407889","DOIUrl":null,"url":null,"abstract":"A framework has been proposed for representing the trajectory of a moving object, using a novel hyperstring based approach for efficient retrieval of video shots. The hyperstring based model unifies both the structural and kinematic features for an improved representation of the trajectory. A Constraint-driven Adjacency Graph matching (CAGM) algorithm has been proposed to measure the similarity between a pair of query and model hyperstrings. Experiments have been performed on benchmark datasets of trajectories (one synthetic and three real-world video shots), to assess the performance (using Precision-Recall metric) of the proposed model. Results have been compared with two similar published works on video retrieval using trajectories, to demonstrate the superiority of our proposed framework.","PeriodicalId":194103,"journal":{"name":"2012 Third International Conference on Emerging Applications of Information Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A novel hyperstring based descriptor for an improved representation of motion trajectory and retrieval of similar video shots with static camera\",\"authors\":\"C. Chattopadhyay, S. Das\",\"doi\":\"10.1109/EAIT.2012.6407889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A framework has been proposed for representing the trajectory of a moving object, using a novel hyperstring based approach for efficient retrieval of video shots. The hyperstring based model unifies both the structural and kinematic features for an improved representation of the trajectory. A Constraint-driven Adjacency Graph matching (CAGM) algorithm has been proposed to measure the similarity between a pair of query and model hyperstrings. Experiments have been performed on benchmark datasets of trajectories (one synthetic and three real-world video shots), to assess the performance (using Precision-Recall metric) of the proposed model. Results have been compared with two similar published works on video retrieval using trajectories, to demonstrate the superiority of our proposed framework.\",\"PeriodicalId\":194103,\"journal\":{\"name\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIT.2012.6407889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Applications of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIT.2012.6407889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

提出了一个框架来表示运动物体的轨迹,使用一种新的基于超字符串的方法来有效地检索视频镜头。基于超弦的模型结合了结构特征和运动特征,改进了轨迹的表示。提出了一种约束驱动邻接图匹配(CAGM)算法来度量查询和模型超字符串之间的相似度。在轨迹的基准数据集(一个合成视频和三个真实视频)上进行了实验,以评估所提出模型的性能(使用Precision-Recall度量)。结果已经与两个类似的使用轨迹的视频检索作品进行了比较,以证明我们提出的框架的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel hyperstring based descriptor for an improved representation of motion trajectory and retrieval of similar video shots with static camera
A framework has been proposed for representing the trajectory of a moving object, using a novel hyperstring based approach for efficient retrieval of video shots. The hyperstring based model unifies both the structural and kinematic features for an improved representation of the trajectory. A Constraint-driven Adjacency Graph matching (CAGM) algorithm has been proposed to measure the similarity between a pair of query and model hyperstrings. Experiments have been performed on benchmark datasets of trajectories (one synthetic and three real-world video shots), to assess the performance (using Precision-Recall metric) of the proposed model. Results have been compared with two similar published works on video retrieval using trajectories, to demonstrate the superiority of our proposed framework.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信