Download now Lire - Lucene Image REtrieval 0.5.4 descriptionLire, the Lucene Image REtrieval library is a simple way to create a Lucene index of image features for content based image retrieval (CBIR). The used features are taken from the MPEG-7 Standard: ScalableColor, ColorLayout and EdgeHistogram. Furthermore methods for searching the index are provided. The LIRE library is part of the Caliph & Emir project and aims to provide the CBIR features of Caliph & Emir ...

为了能够更好的支持AVI视频的读取，请安装K-Lite Codec Pack Full 3.9.3 Beta 下载地址：http://dl.pconline.com.cn/html_2/1/124/id=6563&pn=0.html #include <afx.h> #include <iostream> #include <cv.h> #include <cxcore.h> #include <highgui.h> using namespace std; ///////////////////////////////////////////////////////// //作者：Flobert_Young //日期：2008-05-22 //说明： //   需要配置OpenCV的开发环境，并且一定要确保当前Project里加入了cv.lib cxcore.li...

我的博客里面也有很多， http://blog.shamoxia.com/html/ytag/%e5%9b%be%e5%83%8f%e6%a3%80%e7%b4%a2 想看点英文的资料的话，去我的英文博客： http://pizi.shamoxia.com/?tag=cbir

March 29-31, 2010, Philadelphia, Pennsylvania, USA ACM SIGMM International Conference on Multimedia Information Retrieval Call for Papers Multimedia information retrieval is a cross-cutting field. Extending beyond the borders of culture, art, and science, the search for digital information is one of the major challenges of our time. Digital libraries, bio-computing & medical science, the Internet and social networking sites, streaming video, multimedia databases, cult...

Image and video storage and retrieval continues to be one of the most exciting and fastest-growing research areas in the field of multimedia technology. However, opportunities for the exchange of ideas between different groups of researchers, and between researchers and potential users of image/video retrieval systems, are still limited. The International Conference on Image and Video Retrieval (CIVR) series of conferences was originally set up to illuminate the state of...

What kinds of query are users likely to put to an image database? To answer this question in depth requires a detailed knowledge of user needs – why users seek images, what use they make of them, and how they judge the utility of the images they retrieve. As we show in section 3.3 below, not enough research has yet been reported to answer these questions with any certainty. Common sense evidence suggests that still images are required for a variety of reasons, including: ...