Multidimensional image value assessment and rating for automated albuming and retrieval

The ability to automatically assess image characteristics is an important function for content management, building digital image albums, storytelling with images, and retrieval of specific visual content. This capability is needed to organize and sort large numbers of image and video assets. This paper proposes a novel approach to assess and rate images based on multidimensional characteristics including image quality, social relationships, aesthetic quality, important events, and usage. This new approach provides additional flexibility for end user applications that utilize different aspects of image characteristics. Specifically, we describe a method for assessing image quality based upon technical characteristics of the image, and for predicting the significance of an image based upon the people portrayed in the image. Experimental results indicate that the proposed multidimensional approach provides a promising framework for automated image value assessment and rating.