Video Object Retrieval Based on Color Feature Modeling

Retrieve of the objects in the videos is a challenging and important work. Non-textual object information stored in videos is presented as grids of numbers in the image flames. Therefore, it is hard to retrieve the object in the videos with classical methods. In this paper, a robust color-feature model of the moving video objects is proposed by converting the RGB pixels to a color circle of hue. Furthermore, we give a framework of video object retrieval based on the color feature model. Finally, the experimental results indicate that the proposed model is accurate and similar to human recognition of the moving objects in videos view, which demonstrates the good performance of the color-feature model.