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Single feature extract method for image retrieval usually cannot get good results and it is hard to find a stable fusion method when across image datasets because the image descriptors usually describe image from single aspect. For this pragmatic issue, an improved FCTH-BoVW feature fusion algorithm called robust FCTH-BoVW is proposed in this paper. Traditional feature fusion methods almost use liner...
In a physicalist theory of mind, a concept is a mental representation, which the brain uses to denote a class of things in the world. They can help us classify newly encountered objects on the basis of our past experiences. But how can we get the concepts? As visual information account for about 80% of total perceptual information, this paper proposes a concept acquisition method based on visual cognition...
Face detection is a preliminary step for a wide range of applications such as face recognition, video-surveillance and so on. The object of this work is to improve the correct rate of face detection. Skin-color model is established first to extract the possible face region, then the BP(Back Propagation) neural network model is used to simulate the output of the possible human face region and Bayesian...
Video segmentation is a hot issue in the image research field. In the current video segmentation method, the pixel color feature in a frame is only considered. The pertinent problem between adjacent pixels is not taken into account. This paper proposes a video segmentation method based on GMM (Gaussian Mixture Model) modeling, meanwhile a method integrating the neighborhood characteristic of a pixel,...
This paper presents a new image labeling approach that implicitly incorporates top-down information using content-based image retrieval (CBIR) with conditional random field (CRF) model. To reduce the content ambiguities a small content similar training set for CRF labeling is built using retrieved matches from CBIR. To achieve global consistency of image labeling, a novel CRF probabilistic model with...
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