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Video completion is used for repairing damaged or missing data in a video sequence. This paper proposes a video completion method using robust motion estimation and color compensation. The proposed method consists of three steps: motion estimation, source patch search, and color assignment. If an input video contains brightness change, existing video completion methods give poor results. For overcoming...
Aiming at the demand of mining target from a mass of battlefield video, a mining method based on key frames is discussed. Firstly, the key frames are extracted from battlefield video through content-based video retrieval process. Then, target recognition of key frames is done to mine the target message. The practical calculation shows the mining method is feasible.
Methods for video copy detection are typically based on the use of low-level visual features. However, low-level features may vary significantly for near-duplicates, which are video sequences that have been the subject of spatial or temporal modifications. As such, the use of low-level visual features may be inadequate for detecting near-duplicates. In this paper, we present a new video copy detection...
This paper presents a gradient domain approach for eliminating ghosting artifacts caused by moving objects in panoramic images. In this approach, an eliminating ghosting operation is integrated into a panorama stitching process. For each source image, we pre-stitch it to the panoramic image and perform ghosting detection in the overlapping area. If a ghosting artifact is found, we locate the corresponding...
In image denoising techniques, the state-of-the-art Discrete Cosine Transform (DCT) domain filters manifest good performance of reducing additive Gaussian white noise (AGWN). Two DCT domain filters, i.e., the block-matching three-dimensional (BM3D) DCT filter and the shape-adaptive (SA) DCT filter, have been investigated. However, these DCT domain filters introduce the temporal fluctuation artifact...
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...
This paper proposes a car recognition algorithm based on multiple features of contour. Firstly, canny operator is used to get the edge of the image. Afterwards, image pyramid is used to shrink the image so that the contour will be single-edged and complete. Then, from a point in the contour, travel the whole contour to gain the Fourier descriptors and direction ratio from the traversal sequence. At...
In this paper, we present a new multiple cues fusion algorithm in visual object tracking, which adaptive adjust the confidence scores based on center areas and surround areas defined on confidence maps. Confidence maps are created where each pixel indicates the probability of that pixel belonging to foreground object or scene background. Center areas and surround areas are used to calculate the confidence...
Color and its distribution are important features of a flame image. Fire detection based on sequences of images is more suitable for the need in big room or badly environment. A new color model used to detect flame in an image is found. The model is based on the features that were linear transformed from RGB of the image color. Flames in video sequences are detected by using the features of color...
Traditional methods of optical flow estimation are poor in uneven brightness variation environment .This thesis solves this problem by generalized dynamic image model (GDIM). And according to the combination of the rich color information in color images and generalized dynamic image model, a model of color image sequence optical flow computation is presented in this paper. And the model presented...
In modern intelligent transportation systems, the video image vehicle detection system (VIVDS) is gradually becoming one of the popular methods at signalized traffic intersection due to its convenient installation and rich information content provided. However, in the current VIVDS, the camera usually is installed at the roadside poles or traffic light poles, which not only requires more than one...
We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in searching process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm...
The ranking method is a key element of content-based image retrieval (CBIR) system, which can affect the final retrieval performance. In the literature, previous ranking methods based on either distance or probability do not explicitly relate to precision and recall, which are normally used to evaluate the performance of CBIR systems. In this paper, a novel ranking method based on relative density...
The detection and restoration of intensity flicker is a common artifact in the restoration of archived film. Considering the interrelation between the successive frames in the image sequences, a novel approach based on motion compensation is proposed. Three steps search algorithm is introduced to estimate motion vectors, which can detect motion regions more accurately. Besides, threshold method is...
Primates demonstrate an outstanding ability of gaining a continuous tracking of target in cluttered environments after target disappears in the scene for a long time while it is still a challenge for artificial visual system to do so. Research in psychology indicates that selective visual attention with two attention selection processes is crucial to visual tracking. This paper presents a novel visual...
In this paper we present a supervised method of image segmentation based on the statistic approach expressed in an hybrid space constituted by the three relevant chromatic level deduced by histogram analysis approach, this technique may the possibility of adapting the treatments to the local context of image with a little priori knowledge. This method has been applied on colour images issued from...
The paper proposes a novel method to detect fire and flame by processing the video data captured by an ordinary camera monitoring an open scene, which combined fire flicker and color clues to reach a final decision. First the image difference method and color analysis technique based on the HSI color model are applied to extract the fire-like moving region between two consecutive frames. Then the...
Location detection method based on vision of motional vehicle is studied in this paper. Conventional method is frame difference method, which is realized by contrasting the different of sequential two frames of vehicle image, and which is easy to detect the background of current frame sheltered by previous frame. Second-difference algorithm is improved in the text, which is the improved algorithm...
An approach is proposed for abnormal sections detection in video sequences. In this approach, firstly the histogram is selected to describe the color change in the section, and then the histograms of the frames selected from the section compose the histogram matrix. In order to improve the process efficiency, the principal components analysis (PCA) is used to reduce dimensions of the histogram matrix...
This paper presents an approach to test stereo algorithms against long stereo sequences (say, 100+ image pairs). Stereo sequences of this length have not been quantitatively evaluated in the past, even though they are the input data of a vision-based driver assistance system. Using stereo sequences allows one to exploit the temporal information, which is, in general, not well used currently. The presented...
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