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Motion estimation method for extending line search into panoramic video

A panoramic video and motion estimation technology, applied in the field of panoramic video, to achieve the effect of improving accuracy

Active Publication Date: 2012-10-03
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method is only applicable to cylindrical panoramas, so it cannot effectively perform motion estimation on cubic panorama videos

Method used

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  • Motion estimation method for extending line search into panoramic video
  • Motion estimation method for extending line search into panoramic video
  • Motion estimation method for extending line search into panoramic video

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Experimental program
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Embodiment Construction

[0024] The present invention divides the continuously collected panoramic video into reference frames and prediction frames, and the reference images and prediction images can be divided according to a fixed ratio (such as 1:5, 1:10, 1:15, etc.). The predicted frame is divided into several macroblocks. According to the motion trend and corresponding relationship of image blocks between adjacent frames, the matching block that is most similar to the current block of the predicted frame is searched in the reference frame, that is, the most matching block. The best matching block and the predicted frame The relative position of the current block calculates the motion vector.

[0025] Before introducing the specific implementation steps of the present invention, the motion trend and corresponding relationship of the image blocks in the cube panoramic video will be described. For panoramic videos of captured still scenes, the global motion of the camera is usually dominated by hori...

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Abstract

The invention relates to a motion estimation method for extending line search into a panoramic video. The method comprises the following steps: (1) extending images on all the surfaces of a reference frame by using upper, lower, left and right adjacency images on each surface of the reference frame; (2) selecting a first macroblock without search in macroblocks of a predictive frame, searching the error point of the smallest block in the extended reference frame by a line search method through the macroblock, and returning a motion vector corresponding to the error point of the smallest block; (3) taking the matched block subjected to line search in the step (2) as the starting point, and performing extended search on the adjacent macroblocks to obtain a corresponding motion vector; and (4) detecting whether the search matching is performed on the macroblocks in the predictive frame or not, and entering in the step (2) if a macroblock is not searched, otherwise, ending. The method caneffectively perform motion estimation on the panoramic video and improve the accuracy of motion estimation and the quality of a compensation image.

Description

technical field [0001] The present invention relates to the technical field of panoramic video, and more specifically, relates to a method for performing motion estimation on panoramic video. Background technique [0002] Panoramic images are stitched together from multiple real-world images taken at a certain point. Its specific generation process is: mapping overlapping images onto simple geometric surfaces, such as spheres, cubes or cylinders, and then stitching the projected images seamlessly to obtain panoramic images. According to the mapped geometry, panoramic images can be divided into cylindrical panoramic images, spherical panoramic images and cubic panoramic images. Panoramic video is composed of some time-related panoramic image sequences, from which a real panoramic scene can be obtained, and video frames can be positioned through time. [0003] Panoramic video covers a 360-degree scene range, and its data volume is huge, which causes great difficulties in dat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N7/26H04N7/32G06T7/223H04N19/527
Inventor 周忠吴威陈珂牛犇
Owner BEIHANG UNIV
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