In this paper, a visual saliency detection method with unsupervised sparse learning is proposed. To achieve this goal, the information theoretic perspective of term frequency - inverse document frequency (TF-IDF) measure is introduced to learn a compa...
In this paper, a visual saliency detection method with unsupervised sparse learning is proposed. To achieve this goal, the information theoretic perspective of term frequency - inverse document frequency (TF-IDF) measure is introduced to learn a compact dictionary for salient components detection. Experimental results on benchmark dataset suggest that the proposed method works effectively for visual Saliency detection.