We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

Online photo services such as Flickr and Zooomr allow users to share their photos with
family, friends, and the online community at large. An important facet of these services is that …

In order to evaluate automated image annotation and object recognition algorithms, ground
truth in the form of a set of images correctly annotated with text describing each image is …

In this paper, we propose a novel attempt of model-free image annotation which annotates
images by mining their search results. It contains three steps: 1) the search process to …

Social image retrieval is important for exploiting the increasing amounts of amateur-tagged
multimedia such as Flickr images. Since amateur tagging is known to be uncontrolled …

It is crucial for a web crawler to distinguish between ephemeral and persistent content.
Ephemeral content (eg, quote of the day) is usually not worth crawling, because by the time …

We report on the ongoing development of a research framework for dynamic integration of
information from hard (electronic) and soft (human) sensors. We describe this framework …

As the number of web images is increasing at a rapid rate, searching them semantically
presents a significant challenge. Many raw images are constantly uploaded with little …

In this paper we discuss the state of the art of the content based image retrieval highlighting
the main components and reviewing various approaches employed at each stage, while …

Semantic event recognition based only on vision cues is a challenging problem. This
problem is particularly acute when the application domain is unconstrained still images …