To tackle video management problem of semantics gap existing in different aspects

a video semantic description framework based on UCL (Uniform Content Locator) is proposed.The semantic description framework consists of three levels

i.e.

content

control and physical.Video to be semantically managed is divided into different scenes based on spatial-temporal similarities of frames.For every scene

the most optimal reference frame (I-frames) and non-optimal reference frames (non I-frames) are selected based on local texture complexity

background luminance and scene complexity.Content semantic are imbedded into non I-frames while control and physical semantics are imbedded into I-frames.A semantic watermarking algorithm is incorporated into the management to realize the efficient storage and transmission of video content and its video semantics.JM reference model is adopted for experiments to verify the watermarking technique and results show that the method is robust and has little side effect on video quality.