We present a psycho-visual and analytical framework for automatic measurement of motion activity in video sequences. We construct a test-set of video segments by carefully selecti...
Kadir A. Peker, Ajay Divakaran, Thomas V. Papathom...
This paper describes a video summarization and semantics editing tool that is suited for content-based video indexing and retrieval with appropriate human operator assistance. The...
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
There are a number of shots in a video, each of which has boundary types, such as cut, fade, dissolve and wipe. Many previous approaches can find the cut boundary without difficul...
We describe a technique for video summarization that uses motion descriptors computed in the compressed domain to speed up conventional color based video summarization technique. ...
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...
Collecting all the papers in a research field is a first step towards an exhaustive survey. A number of research paper databases are available for searching papers. However, searc...
— The default storage system for the World Wide Web is the file system- the concept of a database is not built into the core of the HTTP protocols or into the HTML language. But ...
Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...