{"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}
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.