Recently, some researchers and companies, such as Dynamic Digital Depth (DDD), HDlogix, Sony Image Works, and Victor Company of Japan, have paid much attention on this technique. The technique of converting a 2D video into a 3D stereoscopic version is called stereoscopic video conversion (SVC) or 2D-to-3D video conversion. With a rapid provision of abundant 3D video content, a quick progress in consumer electronics industry can thus be ensured.
Tridef 3d 6.3 professional#
Since professional 3D video capturing devices are not so popular and normally expensive, the lack of sufficient amount of 3D video content motivates researchers to convert existing 2D videos into their stereoscopic versions. Though digital 3DTV broadcasting via Digital Broadcasting Satellite in Japan, 3D Digital Multimedia Broadcast system in Korea, and Advanced Three-dimensional Television System Technologies, and FP7 framework program in Europe are currently in operation or under development, the sources of 3D video content are still not diverse enough. Though many LCD-TV manufacturers are promoting their 3DTV products to the market from year 2010, the popularity is however limited by the availability of 3D video content. With the advances in the technologies of 3D content capturing (e.g., dual-eye cameras or time of flight depth camera) and stereoscopic display, the influence of 3D videos on human beings’ daily life are getting more important.
Tridef 3d 6.3 tv#
Recently, 3D (more accurately, stereo 3D) images/videos, which surely move our home audio-visual entertainment towards a greater perceptual realism, are attracting more attention in applications, such as multimedia, games, TV broadcasting, and augmented reality. Based on the implementation by using “OpenMP” parallel programming model, our scheme is capable of executing in real-time on a multi-core CPU platform.
Tridef 3d 6.3 software#
Also, our scheme is shown to outperform the well-known TriDef software in terms of human’s perceived 3D depth. Subjective tests show that videos converted by our scheme provide comparable perceived depth and visual quality with those converted from the depth data calculated by stereo vision techniques. The traditional Depth-Image-Based-Rendering algorithm is used to synthesize the left- and right-view frames for 3D display. A recursive temporal filter is used to reduce the possible depth fluctuations (and also artifacts in the synthesized images) resulting from wrong depth estimations. The above-mentioned depth estimation is initially block-based, followed by a locally adaptive joint trilateral upsampling algorithm to reduce the computing load significantly. Our scheme is shot-adaptive, demanding that shot change detection and shot classification be performed for tuning of algorithm or parameters that are used for depth cue combination. Our scheme is depth-based, relying on spatio-temporal analysis of the decoded video data to yield depth perception cues, such as temporal motion and spatial contrast, which reflect the relative depths between the foreground and the background areas. In this article, an automatic stereoscopic video conversion scheme which accepts MPEG-encoded videos as input is proposed.