The invention discloses a feature-based real-time video image abstraction method, which comprises five steps of converting RGB color space of the real-time videos and images into CIE-Lab color space, adopting a bilateral grid to carry out the rapid bilateral filtering of a brightness channel, carrying out the pseudo-quantization of the brightness value, adopting the feature-flow-based anisotropicGaussian differential line to extract the algorithm extraction line region and carry out the combined operation of the extracted line region and the similar brightness value to strengthen the lines of the line region and re-converting the real-time videos and images to the RGB color space from the CIE-Lab color space. Each step of the invention can be parallelly processed in a graphics card hardware of a household computer, thus effectively solving the rigid and incoherent problems of the extracted lines in the existing abstraction method of multiple real-time videos and images, and providingthe simple, convenient, intuitive and real-time video and image abstraction method for non-professionals.