The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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.
Key-frame-extraction has been recognized the important research issue in the content based on video retrieval. And the effectiveness of the key frames will directly influence on video retrieval. This paper proposes a new method of video key-frame-extraction based on block local features and mean shift clustering. Firstly, we partition the image by the block-weighted strategy, and then extract the...
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.
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...
News reports in TV provide important and timely information about the city and the world to citizens. Moreover, data mining and indexing of news video clips provide a good source of information. However, news video usually consists of more than one news story. One must split them into individual news before indexing. Owing to the nature of news reports, the news anchorperson usually appears in the...
Traditionally, surveillance systems only focus on a small number of entities (such as humans, entrance and exit areas, etc.) and appearance models of these entities are uploaded manually in the system. However, as the end users are becoming more aware of the vision based technologies, there is ever growing demand for advanced surveillance systems which can detect complex abnormal events on different...
This paper proposes to investigate on the efficacy of Genetic Algorithm (GA) based video abstraction system to deliver a meaningful summary (still image abstract) with minimal preprocessing on the given video. The GA employs novel crossover and mutation operators to search for a meaningful summary in a search space of all video summaries. This preliminary investigation employs Euclidean and City-block...
Detection of the commercials in TV videos is hard because the diversity of them puts up a rather high barrier to find an appropriate model. After some studies of existing commercial detection works, we try to deal with this problem through a robust TV commercial detection approach. Firstly a sets of basic features that facilitate distinguishing commercial from general program are analyzed. Then, the...
In this paper, we discuss whether there is any possibility of hiding data in video. Testing our theory, we propose a novel video hiding scheme based on LSB, and we use three-dimensional array to auxiliary our scheme, adaptive LSB data hiding technique, which is a typical method used to achieve information hiding in images, and three-dimensional array used to storage pixels' information of the cover...
We propose a Near-Duplicate Keyframe (NDK) retrieval method that can handle extreme zooming and significant object motion. The first stage consists of eliminating false keypoint matches using symmetric property and a ratio of nearest and second-nearest neighbor distances. Then, a pattern coherency score is assigned to each pair of keyframes. These two features are combined through linear discriminant...
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...
Selecting the fewest contributive image frames for mosaicing video frames into a panoramic photography is effectively to reduce video redundancy and improve blending efficiency. It comes down to a set covering problem after all video frames being registered. The minimal set of frames covering the entire mosaic is reserved to compose the final panorama. Then the mosaic plane is divided into several...
In this paper, we introduce the second version of Microsoft Research Asia Multimedia (MSRA-MM), a dataset that aims to facilitate research in multimedia information retrieval and related areas. The images and videos in the dataset are collected from a commercial search engine with more than 1000 queries. It contains about 1 million images and 20,000 videos. We also provide the surrounding texts that...
Moving object detection is a very important research topic of computer vision and video processing areas. The process of moving object detection based on the background extraction is divided into two steps, background extraction and moving object detection. Improved method of obtaining background image based on common region is cited. The basic idea is to capture a series of video pictures of the...
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 presents a method which able to integrate audio and visual information for human action scene analysis. The approach is top-down for determining and extracting action scenes in video by analyzing both audio and video data. We proposed a framework for recognizing actions by measuring image and action-based information from video with the following characteristics: feature extraction is done...
In the current Internet age, there is a need for a set of good tools for copy detection purposes, as well as enhanced navigation, indexing and searching. We tackle this problem using an ordinal method. This paper presents an extension to our earlier work on an algorithm for generating a video signature based on an ordinal measure. We have achieved precision and recall of 0.935 and 0.966 respectively...
This paper proposes novel algorithms for color based segmentation and shape based matching of forest fires from video frames. Fire pixels from the sample images are collected and compose 3D point cloud in RGB color space, based on which Gaussian mixture model is used to build a more precise color model. According to new definition of flame pattern, possible fire region is further segmented with the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.