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Interest in the digital images has increased a lot over the last few years, but the process of locating a desired image in such a large and diverse image collection becomes very difficult. Traditionally text in different languages is used for efficient retrieval of images; it has several drawbacks such as language constraint and subjectivity of human perception.
Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. High spatial resolution images are complex and differ widely in their content, even in the same category. All images are more or less textured and structured. If the image to recognize is somewhat or very structured, a shape feature will be somewhat or very...
Article deals with current situation of the histogram use. Overwhelming majority of ELINT systems applies histogram depiction in their analytic displays. Significant majority of distinguished radar signals experts use their advantageous function. This contribution shows breaking approach in histogram description via Gaussian function. Particular parts are aimed into creation of data library. This...
This paper presents a novel athlete detection method in sports video based on local features. Firstly, the framework of the proposed athlete detection system is illustrated. In the proposed system, noise and shadow are eliminated in advance, and the region growing and connectivity analysis process are implemented as well. After carrying out the global motion estimation process, action clips are detected...
Human head pose estimation is an important issue and a great challenge in many applications such as human-computer interaction, video conferencing and driver monitoring systems which has attracted many attentions in recent decades. In this paper we propose a novel method for human head pose estimation using Histogram of SIFT descriptors. Our method contains two phases: (1) preprocessing phase (2)...
We introduce in this paper a concept of using acoustic superframes, a mid-level representation which can overcome the drawbacks of both global and simple frame-level representations for acoustic events. Through superframe-level recognition, we explore the phenomenon of superframe co-occurrence across different event categories and propose an efficient classification scheme that takes advantage of...
In this paper, we propose the effective similarity feature-based selection and classification algorithm to select similarity features on the training images and to classify face images in face recognition system. The experiments are conducted on The ORL Database of Faces, which consists of 400 images of 40 individuals. Two face recognition systems, one based on the histogram-based feature, and the...
Now a days, security is a major concern for any organization. It is very difficult to have enough faith in any person as far as security of the organization is concerned. Due to these reasons, face recognition gets popularity in the security domain. Many conventional methods are available to do the face recognition. In this paper, we have discussed few of them covering advantages, disadvantages and...
A new approach for quantizing feature vectors of interest points is proposed in this study. The method utilizes the histograms which work as a dimensionality reduction algorithm for quantizing the local and global features. The performance of activity recognition is generally depend upon the quantity of significant features but with proper feature quantization one can delivered the same performance...
Research on image retrieval technology based on color feature, for the color histogram with a rotation, translation invariance of the advantages and disadvantages of lack of space, a color histogram and color moment combination image retrieval. The theory is a separate color images and color histogram moment of extraction, and then two methods of extracting color feature vector weighted to achieve...
With the advances of computer technology, more and more computer-aided diagnosis (CAD) systems have been developed to provide the ldquosecond opinionrdquo. This paper reports an automatic fundus image classification technique that is designed to screen out the severely degraded fundus images that cannot be processed by traditional CAD systems. The proposed technique classifies fundus images based...
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