Abstract: Visual information retrieval (VIR) is an active and vibrant research area which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) form large, unstructured repositories. In its early years (1995-2000) the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. Later, it was widely recognized that the challenges imposed by the semantic gap (the lack of coincidence between an image’s visual contents and its semantic interpretation) required a clever use of textual metadata (in addition to information extracted from the image’s pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semantic gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on.
This talk revisits the field of content-based image retrieval (CBIR) 10 years after „the end of the early years“ (as announced in a seminal paper in the field) and highlights the most relevant advances, pending challenges, and promising opportunities in CBIR and related areas. Particularly, it includes an overview of the important field of medical image retrieval, its main challenges and opportunities.
Dr. Oge Marques is an Assoc
iate Professor and Associate Chairman in the Department of Computer Science and Engineering at Florida Atlantic University in Boca Raton, Florida. He received his Ph.D. in Computer Engineering from Florida Atlantic University in 2001, his Masters in Electronics Engineering from Philips International Institute (Eindhoven, NL) in 1989 and his Bachelor’s Degree in Electrical Engineering from UTFPR (Curitiba, Brazil), where he also taught for more than 10 years before moving to the USA.
His research interests include: image processing, analysis, annotation, search, and retrieval; human and computer vision; and video processing and analysis. He has more than 20 years of teaching and research experience in the fields of image processing and computer vision, in different countries (USA, Austria, Brazil, Netherlands, Spain, France, and India) and capacities. He is the (co-) author of 4 (four) books in these topics, including the forthcoming textbook “Practical Image and Video Processing Using MATLAB” (Wiley, 2011). He has also published several book chapters and more than 50 refereed journal and conference papers in these fields. He serves as a reviewer and Editorial Board member for several leading journals in computer science and engineering. He is a senior member of the ACM, senior member of the IEEE, and a member of the IEEE Computer Society, IEEE Education Society, and the honor societies of Tau Beta Pi, Sigma Xi, Phi Kappa Phi and Upsilon Pi Epsilon.
