Stereoscopic Video Stream Compression via Correlative Data Removal

The patent uses a single video camera to capture two-dimensional moving-picture video streams, then computationally generates stereoscopic pairs by creating virtual copies of the video data with simulated depth information. This approach replicates the effect of multiple physical cameras without requiring actual multiple-lens equipment, thereby reducing production costs while maintaining three-dimensional visual effect intensity.

The patent replaces the mechanical system of multiple physical cameras and lenses with a computational system. A single video camera captures standard two-dimensional footage, and software algorithms then synthesize stereoscopic video pairs by adding virtual depth information and generating corresponding left and right eye views. This substitution eliminates the need for sophisticated multi-lens camera equipment while achieving the same three-dimensional visual effect.

The patent generates virtual copies of video frames with simulated depth displacement to create stereoscopic pairs from a single camera source. This computational copying approach eliminates the need for physically coordinating multiple cameras to capture synchronized footage, thereby reducing the complexity of targeting and capturing while maintaining the three-dimensional visual effect.

The patent transforms standard two-dimensional video parameters into stereoscopic three-dimensional parameters through computational processing. By applying depth maps, disparity adjustments, and view synthesis algorithms to the single-camera footage, the system generates artificial depth perception and creates left-right eye view pairs, thereby enhancing the three-dimensional visual effect intensity without requiring expensive multi-camera equipment.