Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In...
Abstract. Traditionally, distinguishing between high quality professional photos and low quality amateurish photos is a human task. To automatically assess the quality of a photo t...
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
1 We propose a principled method for designing high level features for photo quality assessment. Our resulting system can classify between high quality professional photos and low...
In this paper, we present a novel content-based image error detection and error concealment algorithm to improve the image quality degraded during its transmission over wireless c...