A System Framework for Concept- and Credibility-Based Multimedia Retrieval

We present a multimedia retrieval system framework that incorporates components for processing multimedia content in different modes and languages. The framework provides concept-based information retrieval facilities that applies credibility information for result re-ranking. The architecture combines both a direct user interface and a batched evaluation interface for reproducible research in multimedia IR. The demo presents a preliminary version of the system framework and shows a use case based on the ImageCLEF 2011 Wikipedia test collection.