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An effective method for highlight generation from basketball sports videos is proposed in this paper. Video shot classification is done which classify video into three categories that is close-up view, far view and replay. For close-up and far view detection we have proposed the feature based on the percentage of edge pixels to classify the frame into Far or close-up view. A pair of logos determines...
The development of high resolution digital cameras for recording of still images and video streams has had a momentous influence on how communication and entertainment have developed during the recent years. Processing of human faces discovers many applications in various domains like law enforcement, security surveillance etc. A standard face processing system consists of face detection, face recognition,...
The Electrocardiogram is an important diagnostic tool used to fetch out the information related to human heart simply by attaching the electrodes. The calculation of heart rate is very easy and simple with modern ECG machines. The denoising of ECG signal is a main concern to get the absolute results for better and corrective diagnosis of heart problems. The thresholding techniques are used for denoising...
Wireless Image Compression is embedding scheme for reducing size of image so that image can be store in less disk space and faster attachment possible in communication. Research issues in Image Compression are to increase efficiency in term of the image quality of decompressed image on higher compression ratio and robustness against visual attacks. Discrete Wavelet transform domain based Image Compression...
Filling dead pixels or eliminating unwanted things is typically preferred within the applications of remotely sensed images. In proposed article, a competent image inpainting technique is demonstrated to resolve this drawback, relied Nonlocal total variation. Initially remotely sensed images are effected by ill posed inverse problems i.e. image destripping, image denoising etc. So it is required to...
Copy-move Image Forgery Detection is an important topic in forensic laboratories. In this research, a hybrid method is proposed to detect the copy-move forgery in an image, by comparing extracted keypoints. Proposed scheme consists of two steps, in first step keypoints are extracted by using SIFT and then extract blocks by using kernel PCA. In second step, Extracted keypoints by using support vector...
This paper classifies noisy English Alphabets with the help of Artificial Neural Network. Here a supervised single layer perceptron learning algorithm for the classification of noisy English alphabets has been proposed. The presented algorithm requires very few number of input neurons for training. The algorithm is capable of classification of English alphabets for different scenario of noise. Simulation...
Closed-circuit television (CCTV) or video surveillance is the most useful technology mostly used in the field of security purposes. CCTVs can be found at many places ranging from public to private places. One of the most challenging problem in installing the CCTV cameras at large scale is storage space occupied by the footage. Footage is mostly stored in secondary storage devices like hard disk drives...
The objective of this paper is to analyse the sad state of speech emotion using voice quality features. This will help the family members, relatives, well-wishers and medical practitioners for timely action to the needy person before onset of deep depression that may danger his/her life. Fuzzy C-means and K-means clustering algorithm have been used to put a boundary between sad speech state against...
This paper proposes a novel data mining framework for object detection in video surveillance system using cellular logic array for replacing contemporary, slow and unreliable techniques of video processing with faster and robust techniques, making surveillance system effective for real time video analytic.
Image Segmentation is the procedure that breaks down any image into different parts. This is required in order to attain the essential characteristics from the image. Segmentation finds its applications in different fields of satellite imagery, weather forecasting, traffic controlling etc. But it is mainly used in the medical field to diagnose different kinds of diseases suffered by different people...
Skin is a complex 3D tessellation and it is difficult to study its texture from acquired images. Images of a skin acquired in different lighting conditions would not be the same simply because of the reason that spatial distribution of light reflections from a particular skin due to an incident light would not remain the same for a different lighting condition. Moreover, skin pores absorb ultraviolet...
Haze removing from a single image is a very difficult problem. Haze is fashioned because of the two essential phenomena which might be attenuation and the air light. Attenuation decrease contrast and air light increase more light inside the region. We use color attenuation prior for dehazing single hazy image. We divide image into small sized patches. Here we discuss atmospheric scattering model,...
Nowadays, an aerial closed-circuit television provides an outsize quantity of information compared with ancient closed-circuit television. But, it suffers from unsought cameras motion that presents new challenges. This paper presents a work on video stabilization and detection of the objects which are in moving position, system supported camera motion estimation. Most effective algorithms SIFT (Scale...
The palm-print verification system is based on two modes, viz, Enrollment mode and Recognition mode. In the enrollment mode, the palm-print features are acquired from the sensor and stored in a database along with the person's identity for the recognition of his/her identity. In the recognition mode, the palm-print features are re-acquired from the sensor and compared against the stored data to determine...
Image enhancement plays main role in digital image processing applications. Enhancement means highlighting main details and improving features and quality of images and making images more visually appealing. Image enhancement finds its applications in many fields of agriculture, education, forestry, remote sensing, fingerprint matching etc. In this research work, the focus is on underwater images,...
In this work we have tried to quantify and categorize the emotional appraisal of 8 cross-cultural instrumental clips with the help of neurocognitive physics approach. Human response data is taken for 70 respondents from which the emotional appraisal for a particular musical clip is standardized. EEG is taken for 5 normal patients and response for different frequency bands (alpha, theta, gamma) of...
Image Segmentation is an essential procedure of image processing. Essentially it is characterized as the way toward partitioning the image into various parts of homogeneity. The aim of image segmentation is to specify the representation of an image into something important and simpler to get it. DWT based method is a procedure in which an information set or say pixels are supplanted by waves, pixels...
Road network in one of the key feature which is used in remote sensing. Many automated methods have been developed in past which are able to detect roads from high resolution satellite (HRS) images. In this study, a cognitive based method is used for detecting road network from HRS images. Cognitive task analysis (CTA) consists of five different stages which are integrated with the nearest neighbour...
Data compression plays a vital role in various video processing applications. Basically video compression is implemented in a video stream frame by frame. Live video processing is a cumbersome task which usually reduces the video transmission rate. So, multimedia data transmission is carried out using suitable hardware modems. The question that arises here is that whether it is possible to achieve...
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