題名: | Content-based trademark retrieval with fuzzy clustering and relevance feedback |
其他題名: | 使用乏晰分群及相關回饋技術之內容導向式商標讀取系統 |
作者: | Yin, Peng-Yeng |
關鍵字: | Content-based image retrieval Fuzzy c-means clustering Relevance feedback Trademark 內容導向式影像讀取 乏晰C均值分群法 相關回饋 商標 |
期刊名/會議名稱: | 2001 NCS會議 |
摘要: | Since the number of registered trademarks is increasing rapidly, the job of identifying infringement of similar trademarks by human inspection becomes laborious and time consuming. To deal with the problem, we propose an automatic content-based trademark retrieval method. The proposed method automatically selects appropriate features based on feature selection principles to discriminate trademarks. The database trademarks are softly clustered into classes using a fuzzy approach to increase the retrieval speed. The user can submit a query through trademark examples to get a list of database trademarks ordered by similarity ranks. The query results can be iteratively refined by the feedback of interest are retrieved. Experiments are conducted on a trademark database containing 1000 images and the retrieval results are very encouraging. |
日期: | 2006-10-17T07:11:16Z |
分類: | 2001年 NCS 全國計算機會議 |
文件中的檔案:
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ce07ncs002001000060.pdf | 470.82 kB | Adobe PDF | 檢視/開啟 |
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