Abstract: A macroblock skip mode judgement method for an encoder applies to implementation of H.264 encoder hardware compressing a plurality of successive frames and comprises steps: undertaking IME (Integer Motion Estimation) for two frames appearing at neighboring time points to calculate MV (Motion Vector), and calculating PMV (Predicted Motion Vector) of the frame appearing the preceding time point; if MV equals PMV, modifying the cost function of MV to be a negative value; undertaking block encoding and compare the costs; if the cost of the Inter mode is smaller than the cost of the Intra mode, setting the mb (macroblock) skip flag to be 1; using Entropy to compress the mb skip flag, and omitting compressing the macroblock represented by the mb skip flag.

Abstract: An optimal dynamic seam adjustment system for image stitching includes an image obtaining module, a feature difference calculation module and a dynamic seam module. The image obtaining module obtains at least two images to be stitched, which have at least one overlapping area divided into a plurality of pixels arranged in a plurality of pixel columns and a plurality of pixel rows. The feature difference calculation module calculates a feature difference value for each pixel within the overlapping area. The dynamic seam module establishes a plurality of dynamic seam routes started from a top end of the overlapping area, so as to find an optimal dynamic seam route based on the feature difference value, wherein each dynamic seam route is composed of a plurality of pixels.

Abstract: An optimal dynamic seam adjustment system for image stitching includes an image obtaining module, a feature difference calculation module and a dynamic seam module. The image obtaining module obtains at least two images to be stitched, which have at least one overlapping area divided into a plurality of pixels arranged in a plurality of pixel columns and a plurality of pixel rows. The feature difference calculation module calculates a feature difference value for each pixel within the overlapping area. The dynamic seam module establishes a plurality of dynamic seam routes started from a top end of the overlapping area, so as to find an optimal dynamic seam route based on the feature difference value, wherein each dynamic seam route is composed of a plurality of pixels.

Abstract: A low-complexity method of converting 2D images/videos into 3D ones includes the steps of identifying whether each pixel in one of the frames is an edge feature point; locating at least two vanishing lines in the frame according to the edge feature point; categorizing the frame into the one of close-up photographic feature, of landscape feature, and of vanishing-area feature; if the frame is identified to have the vanishing-area feature or the landscape feature to generate a GDM; and apply a modificatory procedure to the GDM to generate a final depth information map; if the frame is identified to have the close-up photographic feature, distinguish between a foreground object and a background information in the frame and define the depth of field to generate the final depth information map.

Abstract: A low-complexity method of converting 2D images/videos into 3D ones includes the steps of identifying whether each pixel in one of the frames is an edge feature point; locating at least two vanishing lines in the frame according to the edge feature point; categorizing the frame into the one of close-up photographic feature, of landscape feature, and of vanishing-area feature; if the frame is identified to have the vanishing-area feature or the landscape feature to generate a GDM; and apply a modificatory procedure to the GDM to generate a final depth information map; if the frame is identified to have the close-up photographic feature, distinguish between a foreground object and a background information in the frame and define the depth of field to generate the final depth information map.

Abstract: A low-complexity panoramic image and video stitching method includes the steps of (1) providing a first image/video and a second image/video; (2) carrying out an image/video alignment to locate a plurality of common features from the first and second images/videos and to align the first and second images/videos pursuant to the common features; (3) carrying out an image/video projection and warping to make the first and second coordinates of the common features in the first and second images/videos correspond to each other and to stitch the first and second images/videos according to the mutually corresponsive first and second coordinates; (4) carrying out an image/video repairing and blending for compensating chromatic aberrations of at least one seam between the first and second images/videos; and outputting the stitched first and second images/videos.