The Search Engine of Image-Based High-Level Semantic Information with Application in Mobile E-Commerce

In this paper, based on the Mobile E-commerce Platform, we implement the Information Retrieval System of image-based high-level semantic by using the feature extraction algorithm based on object semantic. By way of optimizing the image feature extraction algorithm, improving the structure of the traditional Search Engine and increasing the carrying capacity of mobile terminals, we will solve a core issue why Mobile E-commerce is not rife currently. It has profound effect to increase the probability of transaction, excavate potential customers and better the level of personalized service. At the same time, it satisfies the requirements of most customers.