An unsupervised method of discovering image categories in a set of images comprises generating, for each image, a histogram vector containing counts of visual words from a dictionary of visual words. An occurrence matrix is generated in which respective rows are histogram vectors for respective images. Sparse principal components of the occurrence matrix are determined, each sparse principal component associated with an image category.
申请公布号
WO2015011470(A1)
申请公布日期
2015.01.29
申请号
WO2014GB52245
申请日期
2014.07.23
申请人
THE UNIVERSITY COURT OF THE UNIVERSITY OF EDINBURGH;SINGAPORE UNIVERSITY OF TECHNOLOGY AND DESIGN
发明人
CHEUNG, NGAI-MAN;AHIPASAOGLU, SELIN, DAMLA;RICHTARIK, PETER;TAKAC, MARTIN