https://scholars.lib.ntu.edu.tw/handle/123456789/117564
標題: | From Text to Image: Generating Visual Query for Image Retrieval | 作者: | Hutchison, David Kanade, Takeo Kittler, Josef Kleinberg, Jon M. Mattern, Friedemann Mitchell, John C. Naor, Moni Nierstrasz, Oscar Rangan, C. Pandu Steffen, Bernhard Sudan, Madhu Terzopoulos, Demetri Tygar, Dough Vardi, Moshe Y. Weikum, Gerhard HSIN-HSI CHEN |
公開日期: | 2005 | 起(迄)頁: | 664-675 | 來源出版物: | Multilingual Information Access for Text Speech and Images (Lecture Notes in Computer Science) | 摘要: | This paper explores the uses of visual features for cross-language access to an image collection. An approach which transforms textual queries into visual representations is proposed. The relationships between text and images are mined. We employ the mined relationships to construct visual queries from textual ones. The retrieval results using textual and visual queries are combined to generate the final ranked list. We conducted English monolingual and Chinese-English cross-language retrieval experiments. The performances are quite good. The average precision of English monolingual textual run is 0.6304. The performance of cross-lingual retrieval is about 70% of monolingual retrieval. Comparatively, the gain of the generated visual query is not significant. If only appropriate query terms are selected to generate visual query, retrieval performance could be increased. © Springer-Verlag Berlin Heidelberg 2005. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-24944537120&doi=10.1007%2f11519645_65&partnerID=40&md5=e4833a3d1b0a77d4ca4db8042e947f0a | DOI: | 10.1007/11519645_65 | SDG/關鍵字: | Approximation theory; Image retrieval; Information retrieval; Linguistics; Mathematical transformations; Text processing; Cross-lingual retrieval; Retrieval performance; Visual query; Visual representations; Query languages |
顯示於: | 資訊工程學系 |
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