Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only consider low-level features. This paper proposes a novel saliency detection model using both color and texture features and incorporating high...

Perceptual image quality assessment (IQA) defines/utilizes a computational model to assess the image quality in consistent with human opinions. A good IQA model should consider both the effectiveness and efficiency, while most previous IQA models are hard to reach simultaneously. So we attempt to make another effort to develop an effective and efficiency image quality assessment metric. Conside...

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy CONTENT-AWARE APPROACHES FOR DIGITAL VIDEO ADAPTATION, SUMMARIZATION AND COMPRESSION By Taoran Lu December 2010 Chair: Dapeng Oliver Wu Major: Electrical and Computer Engineering In this dissertation, we mainly present our work on three ...

To aim at the defect that the classic significant region detection algorithm IG suppresses the most significant pixels, a novel saliency detection method combined with neighborhood inhomogeneity factor NIF is put forward. This algorithm achieves the satisfying result in static image saliency detection. Firstly, IG saliency map is obtained according to the IG algorithm, and then the NIF saliency...

Detecting salient objects from images and videos has many useful applications in computer vision. In this paper, a novel spatiotemporal salient region detection approach is proposed. The proposed approach computes spatiotemporal saliency by estimating spatial and temporal saliencies separately. The spatial saliency is computed estimating of color contrast cue and color distribution cue by explo...

An efficient modified video compression HEVC technique based on high quality assessment saliency features presented for the assessment of high quality videos. To create an efficient saliency map we extract global temporal alignment component and robust spatial components. To obtain high quality saliency here, we combine spatial saliency features and temporal saliency features together for diffe...

Saliency map has been applied in diverse fields such as image segmentation, object detection, image scaling and so forth. Over the past decades, a variety of spatial saliency generation methods for still images have been introduced. Recently, motion saliency has gained much interest where motion data estimated from an image sequence are utilized. In this paper, we propose the saliency generatio...

Interpretation of gravity and magnetic data for exploration applications may be based on pattern recognition in which geophysical signatures of geologic features associated with localized characteristics are sought within data. A crucial control on what comprises noticeable and comparable characteristics in a data set is how images displaying those data are enhanced. Interpreters are provided w...

People perform a remarkable range of tasks that require search of the visual environment for a target item among distractors. The Guided Search model (Wolfe, 1994, 2007), or GS, is perhaps the best developed psychological account of human visual search. To prioritize search, GS assigns saliency to locations in the visual field. Saliency is a linear combination of activations from retinotopic ma...

This study introduced a novel system, called Gaze2Segment, integrating biological and computer vision techniques to support radiologists’ reading experience with an automatic image segmentation task. During diagnostic assessment of lung CT scans, the radiologists’ gaze information were used to create a visual attention map. This map was then combined with a computer-derived saliency map, extrac...