JPSearch: New international standard providing interoperable framework for image search and sharing

Abstract

For the last 15 years, there has been various research and great advances in the field of content-based search and retrieval of images. In this paper, we present an overview of the JPSearch Standard, which is a recently published set of international standards providing interoperable framework for image search and sharing. The JPSearch standard is composed of six parts, which are Part 1: System framework and components, Part 2: Registration, identification and management of schema and ontology, Part 3: Query format, Part 4: File format for metadata embedded in image data (JPEG and JPEG 2000), Part 5: Data interchange format between image repositories, Part 6: Reference software. The Part 1 provides motivation and overview of the JPSearch framework. The Part 2 supports interoperability among various metadata specifications and social tagging using the specification of core metadata and translation rule description language. The Part 3 provides powerful image query language for interoperability among multiple image databases. The Part 4 specifies a file format based on JPEG and JPEG 2000 file format in which arbitrary number of metadata description of a image can be embedded. The Part 5 supports interoperability in interchanging images with metadata between image repositories. Finally, the Part 6 provides reference and utility softwares based on which the JPSearch compliant systems can be easily developed. In this paper, summaries and usage examples for each part of the JPSearch standard are presented.

Disparity based stereo image retrieval through univariate and bivariate models

“…worse results. More generally, we conclude that weighting alike the features of the left, right and disparity images, by taking a value of c around 1 3 , allows to achieve good retrieval performance.…”

“…For example, a single view of a scene acquired by the IKONOS satellite corresponds to 360 MB every 3 or 4 days. Hence, there is a strong need for both managing and storing these large amounts of stereo data [1].…”