Improved feature vocabulary-based method for image categorization

Authors

Frank Y. Shih, Ying Wu College of Computing
Alexander Sheppard, The University of North Carolina at Chapel Hill

Document Type

Syllabus

Publication Date

1-1-2017

Abstract

With the enormous and growing amounts of captured digital images, there has been tremendous interest in image categorization. Image categorization aims to label or classify images into one of the predefined categories. It attempts to retrieve all the images from the same category as a given query image. The attributes of similarity vary from system to system, which are mostly based on color, texture, and shape features.

Identifier

85052598695 (Scopus)

ISBN

[9781439873311, 9781439873328]

Publication Title

Multimedia Security Watermarking Steganography and Forensics

External Full Text Location

https://doi.org/10.1201/b12697

First Page

51

Last Page

64

Recommended Citation

Shih, Frank Y. and Sheppard, Alexander, "Improved feature vocabulary-based method for image categorization" (2017). Faculty Publications. 9950.
https://digitalcommons.njit.edu/fac_pubs/9950