{"title":"几何保持图像检索的归一化尺度编码","authors":"S. Vyshali, M. Subramanyam, K.Soundara Raajan","doi":"10.1109/EESCO.2015.7253843","DOIUrl":null,"url":null,"abstract":"In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Geometry preserving image retrieval using normalized scale coding\",\"authors\":\"S. Vyshali, M. Subramanyam, K.Soundara Raajan\",\"doi\":\"10.1109/EESCO.2015.7253843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.\",\"PeriodicalId\":305584,\"journal\":{\"name\":\"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EESCO.2015.7253843\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EESCO.2015.7253843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geometry preserving image retrieval using normalized scale coding
In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.