The CANDELA project aims at realizing a system for real-time image processing in traffic and surveillance applications. The system performs segmentation, labels the extracted blobs and tracks their movements in the scene. Performance evaluation of such a system is a major challenge since no standard methods exist and the criteria for evaluation are highly subjective. This paper proposes a perfo...

During the period from 2001 to 2010 police officials in India were lured by a team of pseudo-scientists, from the Forensic Laboratories in Bangalore and Ahmadabad to make use of narcoanalysis, polygraph test and brain fingerprinting to extract confessions from accused persons. All the three tests, preceded by a pre-test interview and interrogation, were conducted by the one and the same expert ...

The article is primarily concerned with the notion of a truth-maker. An explication for this notion is offered, which relates it to other notions of making something such-andsuch. In particular, it is shown that the notion of a truth-maker is a close relative of a concept employed by van Inwagen in the formulation of his Consequence Argument. This circumstance helps understanding the general me...

Standardised image databases or rather the lack of them are one of the main weaknesses in the field of content based image retrieval (CBIR). Authors often use their own images or do not specify the source of their datasets. Naturally this makes comparison of results somewhat difficult. While a first approach towards a common colour image set has been taken by the MPEG 7 committee their database...

This paper details the behavioral evaluation of a qualitative image categorisation and retrieval approach using semantic features of images. Content based image retrieval and classification systems are highly active research areas and a cognitively plausible image description can improve effectiveness of such systems. While most approaches focus on low level image feature in order to classify i...

Evaluation of retrieval performance is a crucial problem in content-based image retrieval (CBIR). Many di erent methods for measuring the performance of a system have been created and used by researchers. This article discusses the advantages and shortcomings of the performance measures currently used. Problems such as de ning a common image database for performance comparisons and a means of g...

The last detailed review of Content-based Image Retrieval Systems (CBIRS) is that from Veltkamp and Tanase [VT02], updated in 2002. Since then, many new systems emerged, other systems were improved, but many systems are no longer supported. This paper reconsiders the systems described by Veltkamp and Tanase and proposes in addition for a selection of existing CBIRS a quantitative comparison. Fo...

While image segmentation makes up a vital step in the process of such tasks in the medical domain as tissue classification, content-based image retrieval, and computer-aided diagnosis, it remains an area of much debate regarding how one interprets the results of machine segmented regions. Many segmentation methods are still evaluated using a subjective human opinion of quality with a lack of qu...

The Web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the Web. Moreover, different websites often provide conflicting information on a subject. Several truth discovery methods have been proposed for various scenarios, and they have been successfully applied in diverse application domains. In this paper...

Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the emulation of the user, following a single, well-prescribed strategy. Since the behavior of real users cannot be expected to comply to strict specifications, it is very important to evaluate the sensitiveness of the ret...