A web-based evaluation system for CBIR

Müller, Henning; Müller, Wolfgang; Squire, David

doi:10.1145/500933.500949

Cited by 8 publications

(1 citation statement)

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“…An idea for fully automatic evaluation has already been proposed for image retrieval in 2001 [13]. The communication framework (MRML -Multimedia Retrieval Markup Language) was specified, and a web server for running the evaluation by communicating in MRML over a specified port was provided.…”

Section: Review Of Web-based and Component-level Evaluationmentioning

confidence: 99%

Automated Component–Level Evaluation: Present and Future

Hanbury

Müller

2010

Lecture Notes in Computer Science

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Abstract.Automated component-level evaluation of information retrieval (IR) is the main focus of this paper. We present a review of the current state of web-based and component-level evaluation. Based on these systems, propositions are made for a comprehensive framework for web service-based component-level IR system evaluation. The advantages of such an approach are considered, as well as the requirements for implementing it. Acceptance of such systems by researchers who develop components and systems is crucial for having an impact and requires that a clear benefit is demonstrated.

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Section: Review Of Web-based and Component-level Evaluationmentioning

confidence: 99%

Automated Component–Level Evaluation: Present and Future

Hanbury

Müller

2010

Lecture Notes in Computer Science

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Metadata Representation for Semantic-Based Multimedia Security and Management

Rytsar

Voloshynovskiy

Pun

2003

On the Move to Meaningful Internet Systems 2003: OTM 2003 Workshops

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Abstract. In this paper a novel approach to metadata representation for semantic-based multimedia security and management is proposed. This approach is based on semantically meaningful object segmentation and digital data hiding to facilitate image indexing as well as identification for dedicated image databases. An image is considered as a collection of the regions that correspond to objects, where these objects are associated with some hidden metadata describing some of their features. The metadata is hidden inside the raw images themselves for security and "portability" reasons. The embedding of hidden metadata allows moving an image from one database to another, as well as the insertion/cropping of objects from one image to another, while still preserving the associated descriptions. The perceptual invisibility of the integrated metadata confirms the high performance of this proposed object-based hidden metadata representation.

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