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Classification

Buc A 91 / Schriftlichkeit

SBB

Buc A 91 / Schriftlichkeit

Theme

Information

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Type

a

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Abstract

The 2nd ed. of this introductory work gives an account of the new methods of thinking about information. The author examines the importance of the social and cultural context in analysing the meaning and relevance of information for the indivudual and society. He explores the interaction between communications technology, human information processing, the representation of information and the attendant problems of storage and transmission. The social implications of knowledge engineering are also discussed, together with the ethics of information and its relevance to the information professional of the next century

COMPASS

Information science

LCSH

Information science / Social aspects

Subject

Information science / Social aspects
Information science

Theme

Information

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Abstract

In image retrieval, most systems lack user-centred evaluation since they are assessed by some chosen ground truth dataset. The results reported through precision and recall assessed against the ground truth are thought of as being an acceptable surrogate for the judgment of real users. Much current research focuses on automatically assigning keywords to images for enhancing retrieval effectiveness. However, evaluation methods are usually based on system-level assessment, e.g. classification accuracy based on some chosen ground truth dataset. In this paper, we present a qualitative evaluation methodology for automatic image indexing systems. The automatic indexing task is formulated as one of image annotation, or automatic metadata generation for images. The evaluation is composed of two individual methods. First, the automatic indexing annotation results are assessed by human subjects. Second, the subjects are asked to annotate some chosen images as the test set whose annotations are used as ground truth. Then, the system is tested by the test set whose annotation results are judged against the ground truth. Only one of these methods is reported for most systems on which user-centred evaluation are conducted. We believe that both methods need to be considered for full evaluation. We also provide an example evaluation of our system based on this methodology. According to this study, our proposed evaluation methodology is able to provide deeper understanding of the system's performance.

Source

Information processing and management. 42(2006) no.1, S.136-154

Type

a