Abstract: The present method first provides an image capturing device so that the image obtained by the image capturing device contains only dark-colored road paving and a light-colored lane marker appearing in the left or right portion of the image. The present method then determines the distribution of the light-colored pixels in each consecutive image captured. When the distribution of the light-colored pixels is shifted towards the other side of the images, the motor vehicle is assumed to be deviating from its current traveling lane. When the distribution of the light-colored pixels conforms to a terminal condition, the present method provides at least an audible alarm such as a siren or a pre-recorded voice message to alert the driver.

Abstract: This invention discloses a video encoding method for encoding P frames and B frames using I frames. The video encoding method includes: I frame encoding process, which generates encoded I frames and compressed I frames by intra encoding; and P and B frame encoding process, which generated encoded P frames and B frames using aforementioned compressed I frames.

Abstract: When a real-time MPEG video encoding is performed, null frames are used to compensate lost frames. Or, when a performance of the real-time MPEG video encoding is insufficient, the encoding is performed in accordance with a predetermined frame-type output sequence, in which the null frames are uniformly distributed in the predetermined frame-type output sequence. The null frames are encoded by transforming a null predictive frame with a pixel value of 0 into a discrete cosine transform coefficient through a discrete cosine transform algorithm. The discrete cosine transform coefficient is then transformed into a quantized discrete cosine transform coefficient by quantization. The quantized discrete cosine transform coefficient is then encoded with a null motion vector of (0,0) by variable length coding.