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Automatic detection of salient objects in images attracts much research attention for its usage in numerous multimedia applications. In this paper, we propose a <i>saliency fusion and propagation strategy</i> based salient object detection method for RGB-D images, in which multiple cues are fused to provide high precision detection result and saliency(More)
Hard assignment-based bag of features (BoF) representation inevitably brings in quantization errors, which may lead to inaccuracy, even failure in object tracking. In this paper, we propose a novel soft-assigned BoF tracking approach, in which soft assignment is utilized to improve the robustness and discrimination of BoF representation. After labeling the(More)
Objective. To find a convenient and efficient way to isolate MSCs from human menstrual blood and to investigate their biological characteristics, proliferative capacity, and secretion levels. Methods. MSCs were isolated from menstrual blood of 3 healthy women using adherence. Cell immunological phenotype was examined by flow cytometry; the adipogenic,(More)
Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, no single image retargeting method can handle all cases. In this paper, we propose a novel multi-operator image retargeting approach, which utilizes an efficient and human perception based automatic quality assessment in operator selection. First,(More)
As a fundamental preprocessing of various multimedia applications, object proposal aims to detect the candidate windows possibly containing arbitrary objects in images with two typical strategies, window scoring and grouping. In this paper, we first analyze the feasibility of improving object proposal performance by integrating window scoring and grouping(More)
The prosperity of image retargeting technique leads to the significant need of effective approaches for assessing different image retargeting methods. In this paper, we propose a novel automatic approach providing human perception based image retargeting assessment by measuring salient region similarity between the original image and the target image.(More)
Nowadays, recommender systems occupy an increasingly important position in people's lives. Recommender systems are widely applied in e-commerce websites, they discover users' potential consuming habits by analyzing their behaviors, and then recommend users with what they may purchase. However, recommender systems on e-commerce sites are facing the problem(More)