Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geospatial mapping and navigation of the web
Proceedings of the 10th international conference on World Wide Web
Designing annotation before it's needed
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Distinguishing photographs and graphics on the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
IDeixis: image-based Deixis for finding location-based information
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
A large scale study of wireless search behavior: Google mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Image classification for mobile web browsing
Proceedings of the 15th international conference on World Wide Web
Geographically focused collaborative crawling
Proceedings of the 15th international conference on World Wide Web
Clustering and searching WWW images using link and page layout analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
ImageSense: Towards contextual image advertising
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Web image search today is mostly keyword-based and explores the content surrounding the image. Searching for images related to a certain location quickly shows that Web images typically do not reveal their explicit relation to an actual geographic position. The geographic semantics of Web images are either not available at all or hidden somewhere within the the Web pages' content. Our spatial search engine crawls and identifies Web pages with a spatial relationship. Analysing location-related Web pages, we identify photographs based on contentbased image analysis as well as image context. Following the photograph classification, a location-relevance classification process evaluates image context and content against the previously identified address. The results of our experiments show that our approach is a viable method for Web image location assessment. Thus, a large number of potentially geographically-related Web images are unlocked for commercially relevant spatial Web image search.