Affordable Access

OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images

Authors
Publisher
ACM
Publication Date
Disciplines
  • Computer Science

Abstract

OpenIMAJ and ImageTerrier are recently released open- source libraries and tools for experimentation and devel- opment of multimedia applications using Java-compatible programming languages. OpenIMAJ (the Open toolkit for Intelligent Multimedia Analysis in Java) is a collection of libraries for multimedia analysis. The image libraries con- tain methods for processing images and extracting state- of-the-art features, including SIFT. The video and audio libraries support both cross-platform capture and process- ing. The clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering al- gorithms. The clustering library makes it possible to easily create BoVW representations for images and videos. OpenI- MAJ also incorporates a number of tools to enable extremely- large-scale multimedia analysis using distributed computing with Apache Hadoop. ImageTerrier is a scalable, high-performance search engine platform for content-based image retrieval applications using features extracted with the OpenIMAJ library and tools. The ImageTerrier platform provides a comprehensive test- bed for experimenting with image retrieval techniques. 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.

There are no comments yet on this publication. Be the first to share your thoughts.