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High resolution remote sensing images are bearing the important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars. Most of time the problem...
Studies based on object-based image analysis (OBIA) representing the paradigm shift in change detection (CD) have achieved remarkable progress in the last decade. Their aim has been developing more in...
Harbours are very important objects in civil and military fields. To detect them from high resolution remote sensing imagery is important in various fields and also a challenging task. Traditional met...
How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change detection method based on saliency detection and wavelet transformation...
Visual attention has been widely used in image pre-processing, since it can rapidly detect the region of interest in the given scene. This paper presents a novel technique to track the moving object,...
In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities ...
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
Inspired by the stability functions of human vision system, we present a novel video stabilization method based on saliency driven SIFT matching and discriminative RANSAC. Firstly, a saliency detectio...
Visual saliency plays an important role in variousvideo applications such as video retargeting and intelligentvideo advertising. However, existing visual saliency estimationapproaches often construct ...
In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video.In our approach, the problem of visual saliency estimation is modeled by simultaneously ...
This paper presents a cost-sensitive rank learning approach for visual saliency estimation. This approach avoids the explicit selection of positive and negative samples, which is often used by existi...
The paper presents a novel, theoretically well-based methodology to find changes in remote sensing image series. The proposed method finds changes in images scanned with a long time-interv...
This paper proposes a novel approach to advertisement evaluation using automatic salient regions. The salient regions are detected using a predicting model, in which the predicted values are obtaine...
A Dataset and Evaluation Methodology for Visual Saliency in Video.
Ideal video fingerprinting should be robust to various practical distortions.Conventional fingerprinting mainly copes with natural distortions (brightness change, resolution reduction, etc.), while al...

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