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Most image retargeting algorithms rely heavily on valid saliency map detection to proceed. But the inefficiency of high quality saliency map detection severely restricts applications of these image retargeting methods. In this paper, we describe a stochastic algorithm for efficient context-aware saliency map detection. Our method is a multiple level saliency map detection algorithm which integrates...
In this paper a new synthetic test sequence for evaluation of mosquito noise (MN) due to video codecs is presented with accompanying detection algorithm. The approach and methodology are based on a specially designed test pattern that highlights the MN artefacts. Because of its codec independence, MN can be measured for all types of compression methods like MPEG-1, MPEG-2, H.264, XVid, DivX.. A micro...
In order to detect moving objects from video sequences with complex background, we propose an algorithm which is based on running average background modeling and temporal difference method. Firstly, we utilize the running average method to dynamically updating the background image. Through using background subtraction, we get a foreground image. Secondly, we use temporal difference method to get a...
The growth of new image technologies has created a need for techniques that can be used for copyright protection of digital images, video and audio. One approach for copyright protection is to introduce an invisible signal, known as a digital watermark, into an image or video sequence. Wavelet-based watermark exploit the frequency and spatial of the transformed data in multiple resolutions to gain...
The problem of object detection and tracking has received relatively less attention in low frame rate and low resolution videos. Here we focus on motion segmentation in videos where objects appear small (less than 30-pixel tall people) and have low frame rate (less than 5 Hz). We study challenging cases where some of the, otherwise successful, approaches may break down. We investigate a number of...
This paper proposes a new method to evaluate the temporal impairments of compressed video signals. The proposed algorithm is block based; each block in a given frame is first classified as stable or in motion with respect to its co-located blocks in the previous and next frames. For each in-motion block, a motion estimation process is used to find its best match. Then the flickering estimation is...
This paper presents a novel approach for moving object segmentation in the H.264/AVC compressed domain, which based on ant colony clustering algorithm. Firstly, the motion vector (MV) field is extracted from the H.264/AVC compressed video, and then merges motion vectors with the same characteristic. Secondly, an improved ant colony clustering algorithm is used to classify the MV field into different...
A classification-based, low-complexity motion-compensated spatio-temporal noise reduction filter that preprocess a video sequence before encoding is presented in this paper. The classification of small blocks of each frame into texture, edge and homogenous are applied before filtering. And then motion-compensated temporal and spatio-temporal filtering are applied to classified small blocks accordingly...
Wireless networks such as WiFi suffer communication performance issues in addition to those seen on wired networks due to the characteristics of the radio communication channel used by their Physical Layers (PHY). Understanding these issues is a complex but necessary task given the importance of wireless networks for the transfer of wide ranging packet steams including video as well as traditional...
Tracking moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. As the shadows attached along with the moving object also have the same motion that of objects, the detection of shadows as foreground objects is very common and produce large errors in object localization and recognition. This paper...
This paper proposes the novel robust SRR algorithm that can be effectively applied on the sequence that are corrupted by various noise models and can be applied on the real or standard sequence. First, the proposed SRR algorithm is based on the Geman&McClure norm that used for measuring the difference between the projected estimate of the high quality image and each low high quality image and...
Object tracking aims to detect the path of objects moving randomly by obtaining input from a series of images. Automatic detection and tracking of object is an interesting area of research for defence related applications like missile tracking, security systems and commercial fields like virtual reality interfaces, robot vision etc., Kalman filter tracks the object by assuming the initial state and...
A video sequence consists of several hundred frames and as a result creating a panoramic image from these frames is a very time consuming process. Consecutive frames have large overlap areas which do not provide much information. Therefore, some key frames must be extracted for better performance. There are a number of methods for key frame selection, which match all frames in a video sequence. In...
High dynamic range (HDR) images keep dynamic range of luminance from 105 to 108 and preserve more details than low dynamic range (LDR) images. Conventional acquisition of HDR images requires several images with different exposure settings of one scene, so multiple cameras or static scene are necessary. Besides, in order to transform HDR images onto normal LDR display, tone-mapping algorithms are required...
Video texture is a new type of medium which can provide a new video with a continuously varying stream of images from a recorded video. It is created by reordering the input video frames in a way which can be played without any visual discontinuity. Recently, a new method of generating video textures has been proposed. It first apply principal components analysis (PCA) to extract signatures or patterns...
This paper has brought forth a zero-watermark algorithm for video which is based on the Krawtchouk moment invariants of original images to counterattack RST attack. Due to the stability of the seven lower Krawtchouk moment invariants exhibited in geometrical transformation, the seven moment invariants of the video frames should be calculated first and then construct the watermark sequence with zero-watermarking...
In this paper, a novel method for extracting moving objects from video sequences, which is based on Gaussian mixture model and watershed, is proposed. In order to overcome the drawback of subjective fixed threshold of traditional temporal segmentation, the difference image is modeled as a mixture of Gaussian distributions and a novel method to decide the model size and initial parameters of GMM is...
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterative factorization approach. Most solutions to non-rigid and articulated structure from motion require metric constraints to be enforced on the motion matrix to solve for the transformation that upgrades the solution to metric...
Motion segmentation is a very critical task in video surveillance system. In this paper, we propose a novel approach to detect moving objects in a complex background. Gaussian mixture model (GMM) is an effective way to extract moving objects from a video sequence. However, the conventional mixture Gaussian method suffers from false motion detection in complex backgrounds and slow convergence. This...
The contents of a video/TV sequence vary greatly not only across frames but also within the same frame. The existing peaking system like AutoTV where the peaking is made adaptive to the video contents and noise levels at a frame level is not sufficient for the high-end TV picture quality. This paper proposed a block-based content adaptive sharpness enhancement scheme that is able to adapt the peaking...
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