{"title":"直接DCT索引使用遗传算法的概念","authors":"A. Armstrong, J. Jiang","doi":"10.1109/EGUK.2002.1011273","DOIUrl":null,"url":null,"abstract":"It is highly desirable in terms of speed and computational costs to perform image indexing and retrieval in the compressed domain. The exponential growth of digital media on both the WWW (Reddy and Fletcher, 1998) and home imaging equipment has prompted the development of faster, more accurate indexing algorithms. Successful techniques have the ability to summarise the features of an image into a relatively small key. We present a technique that uses the features of a genetic algorithm to quantize the content of an image directly in the DCT domain. The benefits of working in this domain, apart from the substantial savings of avoiding image reconstruction, is that the coefficients provide spatial information in a form well suited for image indexing.","PeriodicalId":226195,"journal":{"name":"Proceedings 20th Eurographics UK Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Direct DCT indexing using genetic algorithm concepts\",\"authors\":\"A. Armstrong, J. Jiang\",\"doi\":\"10.1109/EGUK.2002.1011273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is highly desirable in terms of speed and computational costs to perform image indexing and retrieval in the compressed domain. The exponential growth of digital media on both the WWW (Reddy and Fletcher, 1998) and home imaging equipment has prompted the development of faster, more accurate indexing algorithms. Successful techniques have the ability to summarise the features of an image into a relatively small key. We present a technique that uses the features of a genetic algorithm to quantize the content of an image directly in the DCT domain. The benefits of working in this domain, apart from the substantial savings of avoiding image reconstruction, is that the coefficients provide spatial information in a form well suited for image indexing.\",\"PeriodicalId\":226195,\"journal\":{\"name\":\"Proceedings 20th Eurographics UK Conference\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 20th Eurographics UK Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EGUK.2002.1011273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 20th Eurographics UK Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EGUK.2002.1011273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
在压缩域中执行图像索引和检索在速度和计算成本方面是非常理想的。万维网(Reddy and Fletcher, 1998)和家庭影像设备上的数字媒体呈指数级增长,促使人们开发出更快、更准确的索引算法。成功的技术能够将图像的特征总结成一个相对较小的键。我们提出了一种利用遗传算法的特征直接在DCT域中量化图像内容的技术。在这个领域工作的好处,除了避免图像重建的大量节省之外,是系数以非常适合图像索引的形式提供空间信息。
Direct DCT indexing using genetic algorithm concepts
It is highly desirable in terms of speed and computational costs to perform image indexing and retrieval in the compressed domain. The exponential growth of digital media on both the WWW (Reddy and Fletcher, 1998) and home imaging equipment has prompted the development of faster, more accurate indexing algorithms. Successful techniques have the ability to summarise the features of an image into a relatively small key. We present a technique that uses the features of a genetic algorithm to quantize the content of an image directly in the DCT domain. The benefits of working in this domain, apart from the substantial savings of avoiding image reconstruction, is that the coefficients provide spatial information in a form well suited for image indexing.