https://scholars.lib.ntu.edu.tw/handle/123456789/412948
Title: | A technical demonstration of large-scale image object retrieval by efficient query evaluation and effective auxiliary visual feature discovery | Authors: | Kuo Y.-H. Wu Y.-L. Chen K.-T. YI-HSUAN YANG Chiu T.-H. WINSTON HSU |
Keywords: | image graph; image object retrieval; inverted file; MapReduce; query evaluation; query expansion; visual words | Issue Date: | 2010 | Start page/Pages: | 1559-1562 | Source: | ACM Multimedia 2010 International Conference | Abstract: | In this demonstration, we present a real-time system that addresses three essential issues of large-scale image object retrieval: 1) image object retrieval-facilitating pseudo-objects in inverted indexing and novel object-level pseudo-relevance feedback for retrieval accuracy; 2) time efficiency-boosting the time efficiency and memory usage of object-level image retrieval by a novel inverted indexing structure and efficient query evaluation; 3) recall rate improvement - mining semantically relevant auxiliary visual features through visual and textual clusters in an unsupervised and scalable (i.e., MapReduce) manner. We are able to search over one-million image collection in respond to a user query in 121ms, with significantly better accuracy (+99%) than the traditional bag-of-words model. ? 2010 ACM. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/412948 | ISBN: | 9781605589336 | DOI: | 10.1145/1873951.1874286 |
Appears in Collections: | 資訊工程學系 |
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