The convenient attribute of cameraphone makes it popular nowadays: people can use it to snap picture at any time and everywhere. At the same time with the advantage of inherent network connectivity

we can share the snapped image with others immediately or search for similar images from the web. The above advantages of cameraphone make the quantity of cameraphone images boosting quickly

which results in the problem of how to efficient organize

manage and retrieve. In this paper

a new region based cameraphone images retrieval incorporated with metadata method is proposed to improve the image retrieval performance. Using this algorithm

we implemented an online demo system to allow users to upload their snapped images and do searching similar images. Compared to traditional contented based image retrieval (CBIR) method

ourmethod uses the region feature of the image incorporated withmetadata of cameraphone to bridge the semantic gap between the low-level feature of images and semantics. The experimental results show higher efficiency ofour methods than the traditional CBIR method.