Abstract : This paper presents a research on clustering an image collection using multi-visual features. The proposed method extracted a set of visual features from each image and performed multi-dimensional K-Means clustering on the whole collection. Furthermore, this work experiments on different number of visual features combination for clustering. 2, 3, 5 and 7 pair of visual features chosen from a total of 8 visual features used, to measure the impact of using more visual features towards clustering performance. The result show that the accuracy of multi-visual features clustering is promising, but using too many visual features might set a drawback.
https://hal.inria.fr/hal-01397191
Contributor : Hal Ifip
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Submitted on : Tuesday, November 15, 2016 - 3:30:16 PM
Last modification on : Wednesday, November 16, 2016 - 1:04:11 AM
Long-term archiving on : Thursday, March 16, 2017 - 1:23:39 PM
