Abstract: A method for calculating an estimated hand motion vector of a plurality of images includes selecting a current video frame and a previous video frame from a video stream, dividing the current video frame into a plurality of macroblocks, selecting a subset of macroblocks from the current video frame, comparing the subset of macroblocks to the previous video frame within a two dimensional comparison range to generate a set of motion vectors, calculating a frame motion vector for the current video frame, estimating a steady motion vector for the current video frame by a first-order autoregression, and calculating a hand motion vector for the current video frame by taking a difference between the steady motion vector and the frame motion vector of the current video frame.

Abstract: The present invention provides a method for simultaneously playing video frames and trip message, and the method includes the following steps: (a) receiving a trip video frame data; (b) decoding the trip video frame data to obtain a plurality of video frames and a plurality of trip message, wherein each of the trip message corresponds to one of the video frames; (c) simultaneously displaying at least one video frame and its corresponding trip message. When the user uses the method for playing the trip video frame data, the user can simultaneously see the video frame and its corresponding trip message, so as to achieve a good performance of monitoring.

Abstract: A method for processing trip information and dynamic data streams are provided, and includes the following steps. (1) A dynamic data stream including a plurality of video frames is received. (2) Plural batches of trip information are received. (3) At least one batch of trip information and at least one corresponding video frame of the dynamic data stream are taken to construct trip video data. Therefore, when a user playbacks the trip video data, the user can simultaneously see the video frame and obtain the corresponding trip information thereof.

Abstract: A digital video image stabilization method features scene change detection, adaptive stabilization in two dimensions, prevention of accumulated-compensation saturation, multi-resolution motion estimation, and compatibility with MPEG video encoding standards. The method uses block-based motion estimation on a selected set of macroblocks, which generates and validates a set of motion vectors, to determine how a digital camcorder or other video recording device is moving; accumulates motion data to estimate and preserve overall motion due to panning while eliminating small variations due to shaking; and resets its accumulated motion data when it detects a scene change. The method uses this information to select a sub-image from a larger image for the selected video frame. When one or more edges of the sub-image approach the edges of the larger image, the method reduces its correction factor to transition smoothly to a faster pan and prevent saturation.

Abstract: A method for calculating an estimated hand motion vector of a plurality of images includes selecting a current video frame and a previous video frame from a video stream, dividing the current video frame into a plurality of macroblocks, selecting a subset of macroblocks from the current video frame, comparing the subset of macroblocks to the previous video frame within a two dimensional comparison range to generate a set of motion vectors, calculating a frame motion vector for the current video frame, estimating a steady motion vector for the current video frame by a first-order autoregression, and calculating a hand motion vector for the current video frame by taking a difference between the steady motion vector and the frame motion vector of the current video frame.

Abstract: A digital video image stabilization method features scene change detection, adaptive stabilization in two dimensions, prevention of accumulated-compensation saturation, multi-resolution motion estimation, and compatibility with MPEG video encoding standards. The method uses block-based motion estimation on a selected set of macroblocks, which generates and validates a set of motion vectors, to determine how a digital camcorder or other video recording device is moving; accumulates motion data to estimate and preserve overall motion due to panning while eliminating small variations due to shaking; and resets its accumulated motion data when it detects a scene change. The method uses this information to select a sub-image from a larger image for the selected video frame. When one or more edges of the sub-image approach the edges of the larger image, the method reduces its correction factor to transition smoothly to a faster pan and prevent saturation.