Design of Collection and Semantic Annotation System for Web Images

Abstract

In order to satisfy the requirement of educators to automatically construct educational resource database with Web images, the paper designs and implements a collection and semantic annotation system for Web images. With the help of meta-search engine, the system collects Web images and their associated texts. In order to annotate semantic keywords, semantic dictionaries are built. Based on semantic dictionaries, the system annotates semantic keywords for Web images. The system is composed with image collection module and semantic annotation module, which are respectively divided into five and three child modules. The paper introduces the design and implementation of the system in detail. The collection and semantic annotation system can automatically search interested images, download them, annotate them with semantic keywords and store them into educational resource database, which would relieve the workload of educators greatly. The experimental results demonstrate that the system is efficient for collection and annotation of Web images, which can basically satisfy the requirement of the construction of educational resource.