already proposed a construction method for personalized video digests based on generated indexes [7][5]. This paper presents a novel video indexing method for providing timely personalized video delivery services. Several previous research reports have dealt with automatic content-bused indexing. However, these systems require a lot of time to manually correct the indexes after preliminary auto...

Semantic indexing, or assigning semantic tags to video samples, is a key component for content-based access to video documents and collections. The Semantic Indexing task has been run at TRECVid from 2010 to 2015 with the support of NIST and the Quaero project. As with the previous High-Level Feature detection task which ran from 2002 to 2009, the semantic indexing task aims at evaluating metho...

The Publick Knowledge Project has been working for a few years now on a software called Open Journal Systems – OJS, now currently in version 1.1.7, which is implementing many languages including English, French, Portuguese and Spanish. OJS assists with every stage of the publishing process for refereed journals, from managing submission reviews through to online publication and indexing. Throug...

This panel will present an overview of the state-of-the-art in automatic and computer aided indexing systems, and focus on discussion of the factors that influence the success of the implementation of these system as well as the criteria for evaluation. We also will present several case studies of operational systems such as the Indexing Initiative at the National Library of Medicine, the Ameri...

The goal of the BioASQ challenge is to push research towards highly precise biomedical information access systems. We aim to promote systems and approaches that are able to deal with the whole diversity of the Web, especially for, but not restricted to, the context of biomedicine. The third challenge consisted of two tasks: semantic indexing and question answering. 59 systems by 18 different te...

Business Rules Engines are systems created to deliver relevant business information to applications and business processes that depend on them. Given their critical position, efficient indexing to minimize time and memory consumption is essential. Unfortunately, the usage of standard hashing indexing techniques has proved not to be an efficient solution to the problem, both in term of performan...

In this paper, we describe an efficient indexing method for a shape-based similarity search of the trajectory of dynamically changing locations of people and mobile objects. In order to manage trajectories in database systems, we define a data model of trajectories as directed lines in a space, and the similarity between trajectories is defined as the Euclidean distance between directed discret...