{"title":"利用鲁棒几何特征增强MST-CSS表示,实现基于内容的高效视频检索(CBVR)","authors":"C. Chattopadhyay, Sukhendu Das","doi":"10.1109/ISM.2012.71","DOIUrl":null,"url":null,"abstract":"Multi-Spectro-Temporal Curvature Scale Space (MST-CSS) had been proposed as a video content descriptor in an earlier work, where the peak and saddle points were used for feature points. But these are inadequate to capture the salient features of the MST-CSS surface, producing poor retrieval results. To overcome these, we propose EMST-CSS (Enhanced MST-CSS) as a better feature representation with an improved matching method for CBVR (Content Based Video Retrieval). Comparative study with the existing MST-CSS representation and two state-of-the-art methods for CBVR shows enhanced performance on one synthetic and two real-world datasets.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Enhancing the MST-CSS Representation Using Robust Geometric Features, for Efficient Content Based Video Retrieval (CBVR)\",\"authors\":\"C. Chattopadhyay, Sukhendu Das\",\"doi\":\"10.1109/ISM.2012.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-Spectro-Temporal Curvature Scale Space (MST-CSS) had been proposed as a video content descriptor in an earlier work, where the peak and saddle points were used for feature points. But these are inadequate to capture the salient features of the MST-CSS surface, producing poor retrieval results. To overcome these, we propose EMST-CSS (Enhanced MST-CSS) as a better feature representation with an improved matching method for CBVR (Content Based Video Retrieval). Comparative study with the existing MST-CSS representation and two state-of-the-art methods for CBVR shows enhanced performance on one synthetic and two real-world datasets.\",\"PeriodicalId\":282528,\"journal\":{\"name\":\"2012 IEEE International Symposium on Multimedia\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Symposium on Multimedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISM.2012.71\",\"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.2012.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing the MST-CSS Representation Using Robust Geometric Features, for Efficient Content Based Video Retrieval (CBVR)
Multi-Spectro-Temporal Curvature Scale Space (MST-CSS) had been proposed as a video content descriptor in an earlier work, where the peak and saddle points were used for feature points. But these are inadequate to capture the salient features of the MST-CSS surface, producing poor retrieval results. To overcome these, we propose EMST-CSS (Enhanced MST-CSS) as a better feature representation with an improved matching method for CBVR (Content Based Video Retrieval). Comparative study with the existing MST-CSS representation and two state-of-the-art methods for CBVR shows enhanced performance on one synthetic and two real-world datasets.