Compositing computer graphics and real world video sequences (original) (raw)
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What is the Truth: A Survey of Video Compositing Techniques
International Journal of Image, Graphics and Signal Processing, 2015
The compositing of videos is considered one of the most important steps on the post-production process. The compositing process combines several videos that may be recorded at different times or locations into a final one. Computer generated footages and visual effects are combined with real footages using video compositing techniques. High reality shots of many movies were introduced to the audience who cannot discover that those shots are not real. Many techniques are used for achieving high realistic results of video compositing. In this paper, a survey of video compositing techniques, a comparison among compositing techniques, and many examples for video compositing using existing techniques are presented.
Creation and animation of computer-generated images combined with a camera and smart graphics card
Microprocessors and Microsystems, 1991
The system described is used in teleoperated robotics to give the human operator a visual aid for the perception of the remote scene when indirect viewing using a video camera. The system enables graphic aids to be superimposed on the video image. These visual enhancements are based on a 3-D reconstruction of the imaged scene. The computer-generated image of moving objects is animated in real time using sensor data feedback, issued from the task site, measuring the displacements of these objects. Matching of the video and computer-generated images is carried out. The hardware structure consists of VME bus modules. It is a multiprocessor device comprising a master CPU, a data acquisition card and a slave CPU with smart graphics card allowing analogue mixing of the computer-generated and video images. It is a workoriented graphics card, configured according to the application's specifications.
Semi-automatic modifications of video object trajectories for video compositing applications
Signal Processing, 2005
This paper proposes a new approach allowing efficient and semi-automatic object-based manipulation for video editing or post-production applications, such as the modification of the trajectories of video objects in a natural scene. For that purpose, an image is seen as a superposition of video object planes (VOP) on an original image or a mosaic view of a fixed background. The method is based on the definition of an editing scenario which contains all the information required to create the edited sequence. A warping model is used to represent the location and the modification of the video object in the 2-D scene. Such an application is by nature semi-automatic since the operator has to specify the modifications that he wants to perform on the original sequence. The proposed method has been designed in order to reduce as much as possible the human workload by using the notion of key VOP and by calibrating in depth the fixed background area. Experimental results show that a high level of realism can be obtained on edited images in which the original trajectories of non-rigid video objects have been strongly modified. r
Video compositing with Adobe software
2016
The thesis discusses the process of creating a video. The first part presents the transformation of an idea into material needed for planning a video shoot, namely the script and storyboard. Following is a description of the shoot and the last part is the post-production, which is also the core of the thesis. It begins with a short film and video theory overview. Following is a detailed description of usage of Adobe programs needed for making a video. Adobe Premiere Pro was utilized for basic editing and color correction, Adobe After Effects and Mocha AE were used for masking and visual effects. Lastly, we discuss sound; from obtaining the soundtrack to sound editing with Adobe Audition. The results of each stage of the process of making the video are presented at the end of each corresponding chapter. There are before and after editing image comparisons, screen shots demonstrating the program's functionalities and spectrograms in the case of sound editing. The final product is ...
Synthetic movies for computer vision applications
2003
This paper presents a real time graphical simulator based on a client-server architecture. The rendering engine, supported by a specialized client application for the automatic generation of goal oriented motion of synthetic characters, is used to produce realistic image sequences for extensive performance assessment of computer vision algorithms for people tracking.
ACM SIGGRAPH Computer Graphics, 1984
Most computer graphics pictures have been computed all at once, so that the rendering program takes care of all computations relating to the overlap of objects. There are several applications, however, where elements must be rendered separately, relying on compositing techniques for the anti-aliased accumulation of the full image. This paper presents the case for four-channel pictures, demonstrating that a matte component can be computed similarly to the color channels. The paper discusses guidelines for the generation of elements and the arithmetic for their arbitrary compositing .
Mixing Synthetic and Video Images of an Outdoor Urban
2002
Mixing video and computer-generated images is a new and promising area of research for enhancing reality. It can be used in all the situations when a complete simulation would not be easy to implement. Past work on the subject has relied for a large part on human intervention at key moments of the composition. In this paper, we show that if enough geometric information about the environment are available, then efficient tools developed in the computer vision literature can be used to build a highly automated augmented reality loop. We focus on outdoor urban environments and present an application for the visual assessment of a new lighting project of the bridges of Paris. We present a fully augmented 300-image sequence of a specific bridge, the Pont Neuf. Emphasis is put on the robust calculation of the camera position. We also detail the techniques used for matching 2D and 3D primitives and for tracking features over the sequence. Our system overcomes two major difficulties. First, it is capable of handling poor quality images, resulting from the fact that images were shot at night since the goal was to simulate a new lighting system. Second, it can deal with important changes in viewpoint position and in appearance along the sequence. Throughout the paper, many results are shown to illustrate the different steps and difficulties encountered.
Mixing synthetic and video images of an outdoor urban environment
Machine Vision and Applications, 1999
Mixing video and computer-generated images is a new and promising area of research for enhancing reality. It can be used in all the situations when a complete simulation would not be easy to implement. Past work on the subject has relied for a large part on human intervention at key moments of the composition.