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Context-Based Natural Image Parsing: A Critical Survey (CROSBI ID 575562)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Rončević, Toma ; Braović, Maja ; Stipaničev, Darko Context-Based Natural Image Parsing: A Critical Survey // SoftCOM 2011 - 19. International Conference on Software, Telecommunications and Computer Networks / Rožić, Nikola ; Begušić, Dinko (ur.). Split: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 2011

Podaci o odgovornosti

Rončević, Toma ; Braović, Maja ; Stipaničev, Darko

engleski

Context-Based Natural Image Parsing: A Critical Survey

Image parsing is an essential part of a large number of image understanding systems. It encompasses techniques for segmenting images into meaningful objects and labeling them with semantic classes. Both sub-problems of segmentation and classification are impossible to deal with in most natural domains without implicit or explicit consideration of context provided by other sources (i.e. sensors or a domain knowledge) or emerging from the image itself (neighborhood or global image features). In this paper we will discuss different approaches that exploit the image context in order to achieve reliable parsing of natural scenes.

context-based image parsing; semantics

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Podaci o prilogu

2011.

objavljeno

Podaci o matičnoj publikaciji

SoftCOM 2011 - 19. International Conference on Software, Telecommunications and Computer Networks

Rožić, Nikola ; Begušić, Dinko

Split: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split

978-953-290-027-9

Podaci o skupu

SoftCOM 2011 - 19. International Conference on Software, Telecommunications and Computer Networks

predavanje

15.09.2011-17.09.2011

Dubrovnik, Hrvatska; Hvar, Hrvatska; Split, Hrvatska

Povezanost rada

Računarstvo