System architecture of a web service for Content-Based Image Retrieval

Abstract

This paper presents the design and implementation of a Content-Based Image Retrieval system where queries are formulated by visual examples through a graphical interface and content can be remotely accessed through web sevices. Visual descriptors and similarity measures implemented in this work are mostly defined in the MPEG-7 standard, while textual metadata is coded according to the Dublin Core specifications. Regarding the web service aspect, the presented solution is composed of two parts, a client running a graphical user interface to pose the queries and a server where the search engine explores an image repository. The separation of the user interface and the search engine follows a Service as a Software (SaaS) model, a type of cloud computing design where a single core system is online and available to authorized clients. The proposed architecture follows the REST software architecture and HTTP protocol for communications, two solutions that combined with metadata coded in RDF, make the proposed system ready for its integration in the semantic web.

Fire Image Detection System based on SOA

“…For video or image processing, Hemalatha T et al [5] presented a distributed image processing system based on SOA, and the various functions of each stage were provided by Web services in the image processing. Giro-i-Nieto X et al [6] studied the implementation of the web service architecture for content-based image retrieval. A medical image processing platform which is used to assistant diagnosis based on SOA architecture is proposed in the paper [7].…”

Cloud Mobile Media: Reflections and Outlook

“…3) Media Retrieval: Multimedia retrieval-for example, content-based image retrieval (CBIR)-can leverage the capability of cloud computing to enhance the performance of various building blocks, such as, feature extraction, similarity measurement, and relevance feedback. In [78], the authors presented the system architecture of a Content-Based Image Retrieval system as a web service. The proposed solution is composed of two parts, a client running a graphical user interface for query formulation and a server where the search engine explores an image repository.…”

Multiscale annotation of still images with GAT

“…GAT has been developed as a multi-platform desktop tool to facilitate its adaptation from third part users. However, the source code is also prepared to work with a remote repository, as reported in [3].…”