Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment
Luming Zhang, Yue Gao, Chao Zhang, Hanwang Zhang, Qi Chuan Tian, Roger Zimmermann · 2014
Photo aesthetic quality evaluation is a challenging task in multimedia and computer vision fields. Conventional approaches suffer from the following three drawbacks: 1) the deemphasized role of semantic content that is many times more important than low-level visual features in photo aesthetics; 2) the difficulty to optimally fuse low-level and high-level visual cues in photo aesthetics evaluation; and 3) the absence of a sequential viewing path in the existing models, as humans perceive visually salient regions sequentially when viewing a photo.