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Wireless Capsule Endoscopy (WCE) is a state-of-the-art technology, which allows complete exploration of the small intestine. Despite clinical findings that WCE videos are promising, there still exist several problems. The most crucial problem is that it is a highly time-consuming task for physicians to inspect the entire video. So it is necessary to investigate CAD based automatic diagnosis system...
Abrupt scene change detection is one of important research fields of shot boundary detection. In this paper, a SVM classifier is trained to determine real cut positions. The experimental results demonstrate that the method based on SVM performs well, which has a good ability of generalization under the condition of little training samples.
This article shows the comparison experiment of automatic and manual classification. In the experiment, 80 individuals are invited in the manual group, and four trials for every comparative group are conducted. After analyzing the results, the authors bring forward some suggestion to introduce manual behaviors into video mining to enhance the effect.
This article shows the improvement of automatic cartoon classification. Two new visual features - color component and color kind based on region segmentation - are proposed. Compared to traditional HSV color histogram and texture, experiment using the two new features can achieve better result, with less dimensions and higher mining efficiency.
Automatic text detection in video is an important task for efficient and accurate indexing and retrieval of multimedia data such as events identification, events boundary identification etc. This paper presents a new method comprising of wavelet decomposition and color features namely R, G and B. The wavelet decomposition is applied on three color bands separately to obtain three high frequency sub...
Visual tracking is a fundamental task in computer vision. However there has been no systematic way of analyzing visual trackers so far. In this paper we propose a method that can help researchers determine strengths and weaknesses of any visual tracker. To this end, we consider visual tracking as an isolated problem and decompose it into fundamental and independent subproblems. Each subproblem is...
In this paper, we propose a video matting method with simultaneous noise reduction based on the Unscented Kalman filter (UKF). This recursive approach extracts the alpha mattes and denoised foregrounds from noisy videos, in a unified framework. No assumptions are made about the type of motion of the camera or of the foreground object in the video. Moreover, user-specified trimaps are required only...
Cast shadows add additional difficulties on detecting objects because they locally modify image intensity and color. Shadows may appear or disappear in an image when the object, the camera, or both are free to move through a scene. This work evaluates the performance of an object detection method based on boosted HOG paired with three different image representations in outdoor video sequences. We...
In this paper a task-oriented approach for object tracking in large distributed camera networks is presented. This work includes three main contributions. First a generic process framework is presented, which has been designed for task-oriented video processing. Second, system components of the task-oriented framework needed for the task of multi-camera person tracking are introduced in detail. Third,...
This paper introduces a novel approach to background modelling. We propose using initially a method to extract scene parameters from a sequence of frames. These parameters, together with an initial background model, are used as a starting point for a background subtraction method based on fuzzy logic. Our method permits modelling the background and detecting moving objects in a video sequence without...
We address the problem of license plate detection in video surveillance systems. The Adaboost based approach, known for relative ease of implementation, makes use of discriminative features such as edges or Haar-like features. In this paper, we propose a novel detection algorithm based on local structure patterns for license plate detection. The proposed algorithm includes post-processing methods...
Based on the sequential video frame, a method to detect the traffic sign was proposed. The color image was mapped from RGB to improved HSI color space first, and then converted it to binary image according the color of signs. The shape features were used to remove some noise, and the improved Hough transform was used to locate the areas of traffic signs. Compared to the existed detection algorithm,...
Today the movie classification also known as“Movie Rating” still does not has the computerized systems to support and still using human help to classify as a censorship. This movie classification process also takes long time and may have some conflicts among the committee because of their background and experience. The committee also needs to use the vote for helping then consents all their conflicts...
Key frame extraction methods aim to obtain a set of frames that can efficiently represent and summarize video contents and be reused in many video retrieval-related applications. An effective set of key frames, viewed as a high-quality summary of the video, should include the major objects and events of the video, and contain little redundancy and overlapped content. In this paper, a new key frame...
Graph Cuts theory has been widely applied in the fields of network flow analysis, computer vision, computer graphics, and so on. In this paper, we use an approach of Graph Cuts to realize image and video retargeting. We regard image retargeting as a problem of energy minimization, so we construct a residual and directed graph based on the gradient of pixel value to find the cut path with minimal energy...
Video text provides high-level semantic information. However, due to the complex background in video, it is of great difficulty to extract text efficiently. Although many methods hold assumptions on single feature, such as texture, connected areas etc., there are still some problems in dealing with multilingual text extraction because of its quite different appearance. In this paper, the color and...
We present a fast technique for retrieving video clips using free-hand sketched queries. Visual keypoints within each video are detected and tracked to form short trajectories, which are clustered to form a set of space-time tokens summarising video content. A Viterbi process matches a space-time graph of tokens to a description of colour and motion extracted from the query sketch. Inaccuracies in...
This paper presents a mosaic based approach for enlarged view soccer video production that can be provided to the audience as a complementary view for greater enjoyment of relevant events, such as offside, counter attack or goal, that spread out all over the playing field. Firstly, an enlarged view of the whole field is produced by fusing the images of six cameras placed on the two sides of the field...
In this article, we propose a motion vector based feature set for Content Based Copy Detection (CBCD) of video clips. Motion vectors of image frames are one of the signatures of a given video. However, they are not descriptive enough when consecutive image frames are used because most vectors are too small. To overcome this problem we calculate motion vectors in a lower frame rate than the actual...
In video-surveillance systems, the moving object segmentation stage (commonly based on background subtraction) has to deal with several issues like noise, shadows and multimodal backgrounds. Hence, its failure is inevitable and its automatic evaluation is a desirable requirement for online analysis. In this paper, we propose a hierarchy of existing performance measures not-based on ground-truth for...
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