Image indexing based on the genealogical relation of TSVQ indices

Jamshid Shanbehzadeh; Amir Masoud Eftekhary Moghadam; Abdolhosain Sarafzadeh; Fariborz Mahmoudi; Neda Mashatan

doi:10.1117/12.373451

20 December 1999 Image indexing based on the genealogical relation of TSVQ indices

Jamshid Shanbehzadeh, Amir Masoud Eftekhary Moghadam, Abdolhosain Sarafzadeh, Fariborz Mahmoudi, Neda Mashatan

Proceedings Volume 3964, Internet Imaging; (1999) https://doi.org/10.1117/12.373451
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

The indices obtained from tree-structured vector quantization have two capabilities. First, they can provide image with different resolutions which gives an hierarchical order image based on the closeness of image blocks. Second, image blocks indices, depending on the tree depth, give the characteristics of neighboring pixels of an image. These indices characteristics have ben used in generating a feature vector which shows the image clusters in different resolutions with the capability of giving information about the neighboring pixels characteristics including edges or smooth image areas. This method has been compared with other previous image retrieval scheme based on vector quantization.

Citation Download Citation

Jamshid Shanbehzadeh, Amir Masoud Eftekhary Moghadam, Abdolhosain Sarafzadeh, Fariborz Mahmoudi, and Neda Mashatan "Image indexing based on the genealogical relation of TSVQ indices", Proc. SPIE 3964, Internet Imaging, (20 December 1999); https://doi.org/10.1117/12.373451

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available