کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
515213 866968 2007 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrating textual and visual information for cross-language image retrieval: A trans-media dictionary approach
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Integrating textual and visual information for cross-language image retrieval: A trans-media dictionary approach
چکیده انگلیسی

This paper explores the integration of textual and visual information for cross-language image retrieval. An approach which automatically transforms textual queries into visual representations is proposed. First, we mine the relationships between text and images and employ the mined relationships to construct visual queries from textual ones. Then, the retrieval results of textual and visual queries are combined. To evaluate the proposed approach, we conduct English monolingual and Chinese–English cross-language retrieval experiments. The selection of suitable textual query terms to construct visual queries is the major issue. Experimental results show that the proposed approach improves retrieval performance, and use of nouns is appropriate to generate visual queries.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Processing & Management - Volume 43, Issue 2, March 2007, Pages 488–502
نویسندگان
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