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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.4
- 발행연도
- 2015.7
- 수록면
- 1,877 - 1,885 (9page)
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This paper presents a new Nearest-Neighbors based weighted representation for images and weighted K-Nearest-Neighbors (WKNN) classifier to improve the precision of image classification using the Bag of Visual Words (BOVW) based models. Scale-invariant feature transform (SIFT) features are firstly extracted from images. Then, the K-means++ algorithm is adopted in place of the conventional K-means algorithm to generate a more effective visual dictionary. Furthermore, the histogram of visual words becomes more expressive by utilizing the proposed weighted vector quantization (WVQ). Finally, WKNN classifier is applied to enhance the properties of the classification task between images in which similar levels of background noise are present. Average precision and absolute change degree are calculated to assess the classification performance and the stability of K-means++ algorithm, respectively. Experimental results on three diverse datasets: Caltech-101, Caltech-256 and PASCAL VOC 2011 show that the proposed WVQ method and WKNN method further improve the performance of classification.
목차
Abstract
1. Introduction
2. Acquiring Visual Words
3. A Weighted Representation
4. Weighted Classifiers
5. Experimental Results
6. Conclusions
References
참고문헌 (26)
참고문헌 신청
[학술지(정기간행물)] - A. Shi / 2011 / Multispectral and panchromatic image fusion based on improved bilateral filter / Journal of Applied Remote Sensing 5 (1) : 053542-1 ~ 053542-17
[학술지(정기간행물)] - F. Xu / 2014 / Block-Based MAP Super-resolution Using Feature-Driven Prior Model / Mathematical Problems in Engineering 48 (1) : 331 ~ 350
[학술대회논문] - J. Wang / 2010 / Locality-constrained linear coding for image classification / Computer Vision Pattern Recognition : 3360 ~ 3367
[학술지(정기간행물)] - W. Tao / 2014 / Spatial adjacent bag of features with multiple super pixels for object segmentation and classification / Information Sciences 281 : 373 ~ 385
[학술대회논문] - M. Zhang / 2012 / Motion primitive-based human activity recognition using a bag-of-features approach / Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium : 631 ~ 640
[학술지(정기간행물)] - F. Xu / 2014 / Block-Based MAP Super-resolution Using Feature-Driven Prior Model / Mathematical Problems in Engineering 48 (1) : 331 ~ 350
[학술대회논문] - J. Wang / 2010 / Locality-constrained linear coding for image classification / Computer Vision Pattern Recognition : 3360 ~ 3367
[학술지(정기간행물)] - W. Tao / 2014 / Spatial adjacent bag of features with multiple super pixels for object segmentation and classification / Information Sciences 281 : 373 ~ 385
[학술대회논문] - M. Zhang / 2012 / Motion primitive-based human activity recognition using a bag-of-features approach / Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium : 631 ~ 640
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