{"title":"基于量化DCT系数的图像检索算法","authors":"Arvind Sharma, Nishchol Mishra, P. Sharma","doi":"10.1109/CICN.2011.90","DOIUrl":null,"url":null,"abstract":"In the image retrieval technology, the aim is to retrieve an image based on DCT color coefficients. There were many algorithms based on single feature, presented in past. Those algorithms have lack of speed and require more computational capability. In this algorithm by using DCT, most similar images are retrieved. The idea of DCT was to decouples the color component of image using YCbCr color model and transform these color components into DCT coefficients moreover reduce the number of bits simply dividing of each DCT coefficients with constant quantization matrix and round them into nearest number to calculate features of that image for performing similarity measure.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Retrieval Algorithm Based on Quantized DCT Coefficients\",\"authors\":\"Arvind Sharma, Nishchol Mishra, P. Sharma\",\"doi\":\"10.1109/CICN.2011.90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the image retrieval technology, the aim is to retrieve an image based on DCT color coefficients. There were many algorithms based on single feature, presented in past. Those algorithms have lack of speed and require more computational capability. In this algorithm by using DCT, most similar images are retrieved. The idea of DCT was to decouples the color component of image using YCbCr color model and transform these color components into DCT coefficients moreover reduce the number of bits simply dividing of each DCT coefficients with constant quantization matrix and round them into nearest number to calculate features of that image for performing similarity measure.\",\"PeriodicalId\":292190,\"journal\":{\"name\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2011.90\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2011.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Retrieval Algorithm Based on Quantized DCT Coefficients
In the image retrieval technology, the aim is to retrieve an image based on DCT color coefficients. There were many algorithms based on single feature, presented in past. Those algorithms have lack of speed and require more computational capability. In this algorithm by using DCT, most similar images are retrieved. The idea of DCT was to decouples the color component of image using YCbCr color model and transform these color components into DCT coefficients moreover reduce the number of bits simply dividing of each DCT coefficients with constant quantization matrix and round them into nearest number to calculate features of that image for performing similarity measure.