关键词: 外部数据库, 自动平衡模式, 数据库不平衡, 图像自动标注

Abstract: Concerning the imbalance of the data set used in image annotation, a new self-balancing model based on external database was proposed. Firstly, the low-frequency points were found based on word frequency distribution of the original database, and an appropriate amount of image was added from an external database under the self-balancing mode for each low-frequency word. Secondly, the image features were extracted, and 47065 visual vocabulary of the original data set and 996 visual words extracted from additional images of external databases were clustered together. Lastly, each image was annotated by the improved image automatic annotation model based on external database. The proposed method overcomes the imbalance in image annotation, making the number of words which can be correctly labeled at least once, precision and recall be increased obviously.

Key words: external database, self-balancing mode, database imbalance, image automatic annotation