Vector Quantization Enhancement for Computer Vision Tasks

被引：0

作者：

Trichet, Remi ^{[1
]}

O'Connor, Noel E. ^{[1
]}

机构：

[1] Dublin City Univ, Insight Ctr Data Analyt, Glasnevin, Ireland

来源：

ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2016 | 2016年 / 10016卷

关键词：

D O I：

10.1007/978-3-319-48680-2_35

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper augments the Bag-of-Word scheme in several respects: we incorporate a category label into the clustering process, build classifier-tailored codebooks, and weight codewords according to their probability to occur. A size-adaptive feature clustering algorithm is also proposed as an alternative to k-means. Experiments on the PASCAL VOC 2007 challenge validate the approach for classical hard-assignment as well as VLAD encoding.

引用

页码：398 / 409

页数：12

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