Bouyerbou, H., Oukid, S., Benblidia, N. and Bechkoum, K. (2012) Hybrid image representation methods for automatic image annotation: a survey. In: ICSES 2012 : International Conference on Signals and Electronic Systems. USA: IEEE. 9781467317108.
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Abstract:
In most automatic image annotation systems, images are represented with low level features using either global
methods or local methods. In global methods, the entire image is used as a unit. Local methods divide images into blocks where fixed-size sub-image blocks are adopted as sub-units; or into regions by using segmented regions as sub-units in images. In contrast to typical automatic image annotation methods that use either global or local features exclusively, several recent methods have considered incorporating the two kinds of information, and believe that the combination of the two levels of features is
beneficial in annotating images. In this paper, we provide a
survey on automatic image annotation techniques according to
one aspect: feature extraction, and, in order to complement
existing surveys in literature, we focus on the emerging image annotation methods: hybrid methods that combine both global and local features for image representation.
Uncontrolled Keywords:
Image annotation, global features, local features, hybrid methods, feature extraction, image representation
Subjects:
Creators:
Bouyerbou, H., Oukid, S., Benblidia, N. and Bechkoum, K.
Publisher:
IEEE
Faculties, Divisions and Institutes:
Date:
20 December 2012
Date Type:
Publication
Title of Book:
ICSES 2012 : International Conference on Signals and Electronic Systems
Event Title:
International Conference on Signals and Electronic Systems (ICSES 2012)
Event Dates:
18-21 September 2012
Place of Publication:
USA
Event Location:
Wroclaw, Poland
Event Type:
Conference
Language:
English
ISBN:
9781467317108
Status:
Published / Disseminated
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