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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bingjing Cai Zheng, C. Sen Yang Zheng, J.Z.J. |
| Copyright Year | 2007 |
| Description | Author affiliation: Yunnan Univ., Kunming (Bingjing Cai) |
| Abstract | This paper discusses a proposed mixed query image and text retrieval database, combining text-based search technology and image content-based search technology for more accurate results. The target application will be aimed at large, categorized image sets, such as large image collections of libraries or patent offices. It can be shown that this mixed query image search engine, can achieve better efficiency and higher quality than traditional text-based queries and content-based systems. This paper will discuss the designing principle of the mixed query image search engine, outline the architecture and show results from an initial prototype database. |
| Starting Page | 451 |
| Ending Page | 456 |
| File Size | 4804787 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424412196 |
| DOI | 10.1109/ICIA.2007.4295776 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-08 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content based retrieval Shape measurement Image retrieval Information retrieval Explosions keyword-based image search technology content-based image search technology Image databases mixed query image retrieval system Tagging Search engines Cities and towns Image storage |
| Content Type | Text |
| Resource Type | Article |
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