Towards a multimedia World-Wide Web information retrieval engine
Selected papers from the sixth international conference on World Wide Web
Information Retrieval
PicturePiper: using a re-configurable pipeline to find images on the Web
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Classification of violent web images using context based analysis
Proceedings of the 2010 ACM Symposium on Applied Computing
Hierarchical learning of dominant constellations for object class recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
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Advanced Multimedia Oriented Retrieval Engine (AMORE) [2] is a World-Wide Web image retrieval engine integrating several techniques to facilitate effective retrieval of images from the Web. With the explosive growth of information that is available through the WWW, it is becoming increasingly difficult for the users to find the information of interest. Therefore, search engines are becoming very popular and useful. However, most of the popular search engines today are textual. Although most Web pages have images, the current image search engines on the WWW are primitive.For traditional text retrieval the only way to search for relevant documents is by specifying keywords. However, for multimedia retrieval it is essential that the user is provided with various options for retrieving the target image. AMORE allows the user to retrieve images of interest using various techniques.The effectiveness of an information retrieval engine is also dependent on the user interface to show the retrieved images. In AMORE, the retrieved images are shown using thumbnails. Like traditional WWW search engines the user can browse through pages of results. We also allow the user to click on an interesting thumbnail and retrieve similar images. This visual navigation strategy is helpful in quickly retrieving the target images. To help the user if many images are retrieved we have also developed a Query Result Visualization Environment. This interface allows the search results to be organized in various ways. We believe that the integration of information retrieval with visualization is helpful for the user's retrieval tasks.