| 한글제목(Korean Title) |
Cost Effective Image Classification Using Distributions of Multiple Features |
| 영문제목(English Title) |
Cost Effective Image Classification Using Distributions of Multiple Features |
| 저자(Author) |
Vanitha Sivagami Sivasankaravel
|
| 원문수록처(Citation) |
VOL 16 NO. 07 PP. 2154 ~ 2168 (2022. 07) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Our work addresses the issues associated with usage of the semantic features by Bag of Words model, which requires construction of the dictionary. Extracting the relevant features and clustering them into code book or dictionary is computationally intensive and requires large storage area. Hence we propose to use a simple distribution of multiple shape based features, which is a mixture of gradients, radius and slope angles requiring very less computational cost and storage requirements but can serve as an equivalent image representative. The experimental work conducted on PASCAL VOC 2007 dataset exhibits marginally closer performance in terms of accuracy with the Bag of Word model using Self Organizing Map for clustering and very significant computational gain. |
| 키워드(Keyword) |
Bag of Words Model
Image Classification
PASCAL VOC
Self Organizing Map
Gradients
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| 파일첨부 |
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