Evaluation of pointer click relevance feedback in PicSOM

Reference:

Ville Viitaniemi and Jorma Laaksonen. Evaluation of pointer click relevance feedback in PicSOM. Technical Report TKK-ICS-R11, Helsinki University of Technology, Department of Information and Computer Science, Espoo, Finland, November 2008.

Abstract:

This report presents the results of a series of experiments where knowledge of the most relevant part of images is given as additional information to a content-based image retrieval system. The most relevant parts have been identified by search-task-dependent pointer clicks on the images. As such they provide a rudimentary form of explicit enriched relevance feedback and to some extent mimic genuine implicit eye movement measurements which are essential ingredients of the PinView project.

Keywords:

content-based image retrieval, enriched relevance feedback, automatic image segmentation

Suggested BibTeX entry:

@techreport{TKK-ICS-R11,
    address = {Espoo, Finland},
    author = {Ville Viitaniemi and Jorma Laaksonen},
    institution = {Helsinki University of Technology, Department of Information and Computer Science},
    month = {November},
    number = {TKK-ICS-R11},
    pages = {24},
    title = {Evaluation of pointer click relevance feedback in {PicSOM}},
    type = {Technical Report},
    year = {2008},
}