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There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature...
This paper introduces a new database of freely available stereo-3D content designed to facilitate research in stereo post-production. It describes the structure and content of the database and provides some details about how the material was gathered. The database includes examples of many of the scenarios characteristic to broadcast footage. Material was gathered at different locations including...
We present an algorithm for estimating dense image correspondences. Our versatile approach lends itself to various tasks typical for video post-processing, including image morphing, optical flow estimation, stereo rectification, disparity/depth reconstruction and baseline adjustment. We incorporate recent advances in feature matching, energy minimization, stereo vision and data clustering into our...
In this paper we propose an intelligent technique of texture reconstruction in videos which may be also applied in images with some constraints. Traditional approach includes text finding and removal, and texture reconstruction without detailed texture analysis. The novel method extends texture analysis not only in spatial domain, but also in temporal domain of video imagery. This intelligent technique...
In this paper, we propose a new Gaussian mixture vector quantization (GMVQ)-based method to summarize the video content. In particular, in order to explore the semantic characteristics of video data, we present a new feature extraction method using independent component analysis (ICA) and color histogram difference to build a compact 3D feature space first. A new GMVQ method is then developed to find...
Basketball court detection is the key step of video annotation, however the court present different color when using different camera or in different play court. In this paper the adaptive Gaussian Mixture Model (GMM) is used to build the model of the basketball court, which is used in the basketball video annotation. The proposed algorithm extracts the main color of the court's main color using the...
The vehicle shadow's detection and elimination work basically for extracting and tracking the vehicle characteristics, and it also plays a very important role in highway video surveillance and incident detection, affecting the post-processing of video image directly, such as vehicle tracking and speed measurement. On study of Kimmel variational and multi-scale Retinex algorithm to eliminate the vehicle...
Conventional 2D-to-3D conversion approaches always have some problems due to fast motion and non-rigid objects. In this proposed approach, a bi-direction optical flow is used to extract credible corner points from original sequences, and then Mean Shift algorithm helps to segment foreground object. In addition, improved active contour model offers more accurate outlines. Finally depth correlation...
Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting...
The paper proposes a kind of visual speech feature for the speaking mouth images from the video combining clues of the shape and local teeth texture. The geometric feature we proposed based on the computing the Euclidian distant between each the feature point around the inner and outer lip. The local texture with G and B components as baseline is employed to calculate the color moment to describe...
Paper describe an NP-video phenomena model system. It provides a simple non-photorealistic scene model in which users can not only obtain an abstraction, infinite video but also obtain enjoyable and real-time artistic experience. Firstly, we design a new algorithm for fast converting a photo or image to a synthesized painting of abstraction. Secondly, we propose a new modeling video texture based...
Panoramic-image-based approach for representing environmental data has become a common method used by various virtual reality applications. It has many advantages over the traditional 3D modeling approaches, such as shorter generation times, faster rendering speeds, higher photorealism, and less storage needed. The drawback is however that it stores only static information of the scene. Panoramic...
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.
Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal...
In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and...
Fire smoke detections are crucial for forest resource protections and public security in surveillance systems. A novel approach for smoke detections with combined Kalman filter and a Gaussian color model is proposed in the paper in open areas. Moving objects are firstly generated by image subtractions from adaptive background of a scene through Kalman filter and MHI(Moving History Image) analysis...
We propose an algorithm for generating navigation summaries. Navigation summaries are a specialization of video summaries, where the focus is on video collected by a mobile robot, on a specified trajectory. We are interested in finding a few images that epitomize the visual experience of a robot as it traverses a terrain. This paper presents a novel approach to generating summaries in form of a set...
A critical issue of measuring video similarity is most video data are huge files, which vary in terms of length and amount of data, resulting in time-consuming data processing. Therefore, reducing the dimensionality of the data becomes a necessity. This paper proposes the video similarity measurement approach for sports video classification by dimensionality reduction with distance space and random...
An adaptive shadow removal algorithm with background subtraction method based on shadow position and edges attributes is presented. Accumulative frames differences of symmetrical frames are adopted to detect the moving regions approximately, and the moving regions templates are constructed through static index, then the background model is built by the statistics of brightness information. On the...
A new video surveillance object recognition algorithm is presented, in which improved invariant moments and length-width ratio of object are extracted as shape feature, while color histograms of object are utilized as color feature. On the combination of shape and color features, object recognition is achieved. Based on the algorithm, an intelligent video surveillance system is implemented. Test results...
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