Multimodal semantic characterization of images using MPEG-7 descriptors

In this paper the edge histogram descriptor, the scalable colour descriptor and the colour layout descriptor defined in the MPEG-7 standard are used for image semantic characterization. A comparative study of the performance and reliability of the image classification based in these descriptors is made. For that, classification methods like neural networks and k-nearest neighbors were used to detect relevant semantic features in images. The descriptors are individually used and combined with different multimodal techniques. A set with 460 images will be used for testing together with a set of 320 training images selected from the TRECVID 2008 development sound and vision database was used.