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With the increasing stress in working and studying, mental health becomes a major problem in the current social research. Generally, researchers can analyze psychological health states by using social perception behavior. The speech signal is an important research direction in this domain. It objectively assesses the mental health of social groups through the extraction and fusion of speech features...
Deep learning has been applied to saliency detection in recent years. The superior performance has proved that deep networks can model the semantic properties of salient objects. Yet it is difficult for a deep network to discriminate pixels belonging to similar receptive fields around the object boundaries, thus deep networks may output maps with blurred saliency and inaccurate boundaries. To tackle...
Visible-spectrum indexes based methods for detection of vegetation coverage suffer from a dependence solely on color. To address these issues, this paper presents a graph cut and total variation based variational level set segmentation algorithm combining local wavelet texture and prior color. First, the prior color is generated through manual labeling with histogram estimation; local wavelet texture...
Text and captions in videos provide useful information for content analysis and understanding. In this paper, we present an approach to detecting video text in a coarse-to-fine strategy. In the coarse phase we propose an efficient method to detect multi-scale candidate text regions with high recall. Then the candidate text regions are segmented and sent to the fine phase where a convolutional neural...
The researches on Human Visual System (HVS) lead to more comprehension in the visual perceptibility of human eyes and make dramatic contribution in image quality assessment. However, few perceptual hashing algorithms take the visual perceptibility into account. In this paper, we propose a new visual threshold adjustable perceptual hashing method under the guidance of Watson's visual model. This method...
In general, car body parts are very complex models by thousands of differential geometrically operations. For the computer-aided car-body part automatic modeling system, this complexity is a big challenge. This paper proposes a new body-based modeling method, using body-based features and a "sculpturing" strategy to create complex model via a computer car-body parts design system. This method...
This paper gives a new image feature extraction technique coined two-dimensional clustering-based discriminant analysis (2DCDA), which is based on 2D image matrices for constructing the scatter matrices and assumes that the data obeys the multimodal distribution. The detailed procedure of 2DCDA is to first partition each class of the data into multiple clusters via fast 2D global k-means clustering...
This paper presents a new semi-fragile watermarking algorithm for image authentication which extracts image features from the low frequency domain to generate two watermarks: one for classifying of the intentional content modification and the other for indicating the modified location. The algorithm provides an effective mechanism for image authentication. The watermark generation and watermark embedment...
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