Output details
11 - Computer Science and Informatics
University of Westminster
Output title
Multidimensional image selection and classification system based on visual feature extraction and scaling
Type
E - Conference contribution
Name of conference/published proceedings
Proceedings of IS&T/SPIE Electronic Imaging: Image Quality System Performance VII
Volume number
7529
Issue number
7529
First page of article
75290A
ISSN of proceedings
0277786X
Year of publication
2010
Number of additional authors
2
Additional information
<23> Originality: The paper is concerned with the identification of objective methods of pictorial image classification that correlate with subjective classification. It describes the way inherent scene features, can be combined to provide an answer to image selection and classification, which is compatible with human observations. A novel multidimensional system is built based upon such global scene features.
Significance: The paper proposes a solution to an important aspect in designing pictorial image databases.
Rigour: The extraction of relevant feature metric values was achieved by implementing existing and proposed novel algorithms.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
