In this talk, we will discuss work on information organization, a range of techniques for imposing order on text data. We will talk about monitoring news for new events as well as changes to known events. We will also talk about methods based on summarization and visualization that rapidly convey the content of those changes. Raghavan Manmatha, U. Mass - Information Retrieval Center for Intelligent Information Retrieval, Computer Science Department, University of Massachusetts, Amherst. Managing information in today's world requires tools which search, retrieve, classify and categorize this information.
Users desire semantic similarity from a retrieval engine.
However, this is difficult to achieve for images since the technology to recognize objects in general does not exist. However, similarity based on attributes like color, texture, shape and appearance may often approximate semantic similarity. Many image retrieval systems are based on using these attributes. In this tutorial, we discuss why the problems underlying the field of image retrieval are difficult, the current state of the technology and directions in which the technology is likely to be improved. Completely automatic systems are difficult to build with the current state of technology.