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What is ImageTerrier

Chapter 18
Handbook of Research on Big Data Storage and Visualization Techniques
ImageTerrier is an open source, scalable, high-performance search engine platform for content based image retrieval applications. The ImageTerrier platform provides a comprehensive test-bed for experimenting with image retrieval techniques (The University of Southampton, 2011-2015). The platform incorporates a state-of-the-art implementation of the single pass indexing technique for constructing inverted indexes and is capable of producing highly compressed index data structures. ImageTerrier is written as an extension to the open source Terrier test-bed platform for textual information retrieval research (The University of Southampton, 2011-2015).
Published in Chapter:
The Image as Big Data Toolkit: An Application Case Study in Image Analysis, Feature Recognition, and Data Visualization
Kerry E. Koitzsch (Kildane Software Technologies Inc., USA)
Copyright: © 2018 |Pages: 52
DOI: 10.4018/978-1-5225-3142-5.ch018
Abstract
This chapter is a brief introduction to the Image As Big Data Toolkit (IABDT), a Java-based open source framework for performing a variety of distributed image processing and analysis tasks. IABDT has been developed over the last two years in response to the rapid evolution of Big Data architectures and technologies, distributed and image processing systems. This chapter presents an architecture for image analytics that uses Big Data storage and compression methods. A sample implementation of our image analytic architecture called the Image as Big Data Toolkit (IABDT) addresses some of the most frequent challenges experienced by the image analytics developer. Baseline applications developed with IABDT, status of the toolkit and directions for future extension with emphasis on image display, presentation, and reporting case studies are discussed to motivate our design and technology stack choices. Sample applications built using IABDT, as well as future development plans for IABDT are discussed.
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