Image query analytic model

隨著數位影像資源日益增多，愈來愈多的使用者透過圖像檢索系統來查詢圖像資訊，然而根據本人先前針對網路圖像檢索行為研究結果發現，圖像檢索需求與圖像檢索技術的相關研究，似乎呈現各自發展、雙軌並行的現象，欠缺有效的聯繫與整合；此外，過去對於圖像需求的分析也多以特定學科領域中的少數族群為主，欠缺一通用性的架構或模式，來作為圖像使用者研究的基礎。因此本研究擬提出一通用性之檢索需求分析模式，並以此為基礎，分析圖像需求與圖像檢索技術之間的關聯，以探討其作為瞭解圖像需求與提昇圖像檢索效益的可行性。

With substantial increase of image resouces, ,many users use image retrieval systems to access image resources. However, based on the author's previous research, there lacks an integration between image user study and image retrieval technology. Besides, most image user studies were done with special collection of images, or special groups of users. Few research focuses on a large scale and applies to more general-purpose retrieval environment. This paper proposes a general-purpose query analytic model to understand image needs and explore the limitation of current image retrieval technology and feasible enhancements.