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Texture as a Pixel Feature for Video Object Segmentation

Date

Authors

Ahmed, Rakib

Karmakar, G.C.

Dooley, L.S.

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

As texture represents one of the key perceptual attributes of any object, integrating textural information into existing video object segmentation frameworks affords the potential to achieve semantically improved performance. While object segmentation is

Keywords

Keywords: Arsenic compounds; Copying; Image coding; Motion compensation; Motion estimation; Pixels; Textures; Textural informations; Video-object segmentation; Object recognition

URI

http://hdl.handle.net/1885/17116

Collections

ANU Research Publications

Source

Electronics Letters

Type

Journal article

DOI

10.1049/el:20080407

Restricted until

2037-12-31

Downloads

File

Description

01_Ahmed_Texture_as_a_Pixel_Feature_for_2008.pdf (184.84 KB)