Extraction of Image Semantic Attributes and Its Application
Zixing Cai · Jisuanji gongcheng · 2007
This paper presents an image semantic description in high-level information.In order to explain and calculate the image semantics,the feature vectors and the semantic partition are constructed in structure related.And also the selection of vector space is discussed.In the vector space,an idea is given for the selection of minimum vector dimensions which is being proved by discriminant.From the vectors selection,the structure of feature projection and the formulation can effective to calculate the data from low-level to high-level in image retrieval and recognition.The principles and the experiments show the thoughts can help others in semantic retrieving.