.png){kind=icon}
返回
Scene image classification using locality-constrained linear coding based on histogram intersection
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-017-4830-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recently linear Spatial Pyramid Matching (SPM) method based on sparse coding has achieved great success in image classification. The raise of Locality-constrained Linear Coding (LLC) proves the importance of locality. In this paper, we propose an improved feature coding scheme called Locality-constrained Linear Coding Based on Histogram Intersection (HILLC). HILLC uses histogram intersection to describe the distance between feature vector and codebook. For each feature vector, search the KNN nearest neighbors to construct a local codebook. Compared with LLC, HILLC can obtain more robust codes. Experimental results demonstrate that our proposed method outperforms other related coding methods.
Keyword:
SPM
Sparse coding
Histogram intersection
Image classification
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
机构
引用论文
.png){kind=icon}
Flexible Dielectric Barrier Discharge Reactor With Water and Teflon Dielectric Layers柔性介质阻挡放电反应器，带有水和特氟龙介质层
PREAI
分享收藏分享收藏A micromachined efficient parametric array loudspeaker with a wide radiation frequency band具有宽辐射频带的微机械高效参量阵列扬声器
PREAI
分享收藏
查看更多内容