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Kernel descriptors have been proven to outperform existing histogram based local descriptors as such descriptors are extracted from the match kernels which measure similarities between image patches using different pixel attributes (gradient, colour or LBP pattern). The extraction of kernel descriptors does not require coarse quantization of pixel attributes. Instead, each pixel equally participates...
Tamura features are based on human visual perception and have huge potential in image representation. Conventional Tamura features only work on homogeneous texture images and perform poor on generic images. Therefore, many researchers attempt to improve Tamura features and most of the improvements are based on histogram based representation. Kernel descriptors have been shown to outperform existing...
Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor...
In order to remove the problem of the shadow of moving vehicles in video surveillance, this paper presents an algorithm based on projection features of the connected regions to eliminate the dynamic shadow. Firstly, the Frame Difference method is applied to image blocks to extract the background. Then, the moving vehicles are detected as the foreground in the current frame by background subtraction...
Shape features are one of the most popular low-level image representations for computer vision (CV) tasks such as template matching, image collaboration and object recognition. In this paper, an application-originated research has been introduced for extracting representative shape characteristics from challenging real-world scenes based on the image “textures”. The proposed new approach starts from...
In a typical computer vision application, such as video event detection, the “meaningful” information is fundamentally represented by pre-defined features, which determine the appropriate analytical methodologies in the following processing phases. Based on the uncompressed low-level image characteristics, such as colour, intensity and spatial positions, the features used for event detection in this...
A kind of high-efficient target recognition algorithm has been worked out, which is on the basis of developing a esplanade-cleaning robotic prototype with a visual function. Based on the difference in value and target tricolor ratio, the robot can accurately identify the target garbage within its vision quickly. By the least squares method fitting that the target range, robot can accurately drive...
To avoid color distortion and meanwhile exert display advantage of wide gamut displays, there needs gamut expansion mapping from the current standard gamut to the gamut of these devices. A gamut expansion method based on saturation enhancement in CIE-xy chromaticity diagram is proposed. The algorithm first divides the gamut triangle into two parts, the achromatic region and the normal color region...
To exert color display advantage of wide gamut displays, there needs gamut expansion from the current standard gamut to the gamut of these devices. A novel gamut boundary descriptor and a three dimensional gamut expansion method using a fixed anchor point in CIELUV color space are proposed. Gamut boundary is represented by a closed surface composed of a series of triangles and the line gamut boundary...
Aimed at that there is often a video paragraph of human body's reciprocating motion in the pornographic videos, a novel method of pornographic videos detection is proposed. On the basis of calculating the optical flow field, we extract the characteristics points of the moving target, and classify optical flow direction of these points and get the statistics of them. Then we establish the optical flow...
By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern's eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The...
Aimed at that there is a missing detection in the video shot segmentation because of that the global color feature can't reflect the changes in the image's substance, a new method of shot detection is proposed using global color feature combined with the characteristic of local edge. In order to determine the border of the shot segmentation, the paper eliminated the flash interference with the gray...
In content-based image retrieval, the ldquosemantic gaprdquo between visual image features and user semantics makes it hard to predict abstract image categories from low-level features. We present a hybrid system that integrates global features (G-features) and region features (R-features) for predicting image semantics. As an intermediary between image features and categories, we introduce the notion...
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. In this paper, a new approach to digital image retrieval using intermediate semantic features and multistep search has been proposed. Instead of looking for human level semantics which is too challenging at this stage, the...
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