{"title":"基于MST-CSS表示的运动草图视频检索","authors":"C. Chattopadhyay, Sukhendu Das","doi":"10.1109/ISM.2012.76","DOIUrl":null,"url":null,"abstract":"In this work, we propose a framework for a robust Content Based Video Retrieval (CBVR) system with free hand query sketches, using the Multi-Spectro Temporal-Curvature Scale Space (MST-CSS) representation. Our designed interface allows sketches to be drawn to depict the shape of the object in motion and its trajectory. We obtain the MST-CSS feature representation using these cues and match with a set of MST-CSS features generated offline from the video clips in the database (gallery). Results are displayed in rank ordered similarity. Experimentation with benchmark datasets shows promising results.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Motion-Sketch Based Video Retrieval Using MST-CSS Representation\",\"authors\":\"C. Chattopadhyay, Sukhendu Das\",\"doi\":\"10.1109/ISM.2012.76\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose a framework for a robust Content Based Video Retrieval (CBVR) system with free hand query sketches, using the Multi-Spectro Temporal-Curvature Scale Space (MST-CSS) representation. Our designed interface allows sketches to be drawn to depict the shape of the object in motion and its trajectory. We obtain the MST-CSS feature representation using these cues and match with a set of MST-CSS features generated offline from the video clips in the database (gallery). Results are displayed in rank ordered similarity. Experimentation with benchmark datasets shows promising results.\",\"PeriodicalId\":282528,\"journal\":{\"name\":\"2012 IEEE International Symposium on Multimedia\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Symposium on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2012.76\",\"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 IEEE International Symposium on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2012.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Motion-Sketch Based Video Retrieval Using MST-CSS Representation
In this work, we propose a framework for a robust Content Based Video Retrieval (CBVR) system with free hand query sketches, using the Multi-Spectro Temporal-Curvature Scale Space (MST-CSS) representation. Our designed interface allows sketches to be drawn to depict the shape of the object in motion and its trajectory. We obtain the MST-CSS feature representation using these cues and match with a set of MST-CSS features generated offline from the video clips in the database (gallery). Results are displayed in rank ordered similarity. Experimentation with benchmark datasets shows promising results.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
