Abstract
In our daily life, we might be interested in the implicit knowledge (i.e., picture knowledge) behind some unknown pictures (namely the target pictures). Traditionally, in order to search the picture knowledge via a search engine, users have to identify some keywords related to the target picture. It is not always easy for users to identify keywords to accurately represent the target picture and as a result the users cannot accurately acquire the implicit knowledge regarding the target picture. Furthermore, the search results via a search engine are not well-organized and the picture knowledge might be fragmented in distinct search results. This research aims at developing a feature-based picture knowledge extraction methodology to assist the knowledge acquirers to extract the picture knowledge via the target picture they are interested in and acquire a more completed and systematic search result. At first, this research analyzes the picture knowledge in different application domains, and identifies the components of picture knowledge. Based on the knowledge components, this research establishes a sample picture database and reorganizes the knowledge of these sample pictures. After that, the key image features for picture knowledge extraction are identified and a feature-based picture knowledge extraction methodology is developed. In the proposed methodology, after acquiring the target picture from the knowledge acquirer, a set of sample pictures highly correlated with the target picture can be determined based on the image features for the target picture and sample pictures. After that, the knowledge regarding the extracted sample pictures are integrated to represent the knowledge of the target picture. Based on the proposed methodology, this research also develops a picture knowledge extraction system. Furthermore, the cultural relic pictures are employed as examples to evaluate the proposed methodology. The verification results show that the developed system can be applied to real cases to effectively assist picture knowledge extraction of distinct application domains. In brief, this research develops a picture knowledge extraction technology for the knowledge acquirers to efficiently and accurately acquire the picture knowledge and enhance reuse of pictures.