https://scholars.lib.ntu.edu.tw/handle/123456789/412989
Title: | 3D sub-query expansion for improving sketch-based multi-view image retrieval | Authors: | Lin Y.-L. Huang C.-Y. Wang H.-J. WINSTON HSU |
Issue Date: | 2013 | Start page/Pages: | 3495-3502 | Source: | IEEE International Conference on Computer Vision | Abstract: | We propose a 3D sub-query expansion approach for boosting sketch-based multi-view image retrieval. The core idea of our method is to automatically convert two (guided) 2D sketches into an approximated 3D sketch model, and then generate multi-view sketches as expanded sub-queries to improve the retrieval performance. To learn the weights among synthesized views (sub-queries), we present a new multi-query feature to model the similarity between sub-queries and dataset images, and formulate it into a convex optimization problem. Our approach shows superior performance compared with the state-of-the-art approach on a public multi-view image dataset. Moreover, we also conduct sensitivity tests to analyze the parameters of our approach based on the gathered user sketches. ? 2013 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/412989 | ISBN: | 9781479928392 | DOI: | 10.1109/ICCV.2013.434 |
Appears in Collections: | 資訊工程學系 |
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