在本論文中所提出的加註文字方法，在取得語意特徵時考慮了低階特徵的特性，所以最後所得到的加註文字將會與圖像內容有一定的相關程度，意即將會更貼近使用者認知的意涵。所以利用此系統所得到的加註文字用於圖像檢索系統及分類上將會有助於準確性的提升。 In this following proposal, we have designed an automatic image annotation system, using primarily the low level features and other semantic characteristics of the image’s color and texture to create annotations for the images. In this system, we use the Internet to obtain image information as a reference for the process.
Throughout the process, the keywords obtained from the image’s original webpage content are collected as defining features, then all of the images are cropped into the same size and collected. Using wavelet transformation and color histogram, the texture and color features are collected and combined into one single feature, which is the image’s low level feature. Lastly, using the low level feature to allocate the images and keywords, a keyword group which has low-level features as its central concept is created and the images will have appropriate annotations. The purpose of such a design for the system is to automatically assist the user in annotating unknown images, and to increase the accuracy of image searching and image grouping systems.
