6. The method of claim 1 , wherein the act of identifying video, audio and text key elements from said video, audio and text sub-streams further comprise the acts of: 1.) identifying low, mid and high level features from the plurality of frames which comprise said video, audio and text, substreams; 2.) determining an importance value to each of said extracted low, mid and high level features from said identifying act; 3.) computing a frame importance value for each of said plurality of frames which comprise said video, audio and text sub-streams as a function of the importance values of the feature importance values determined at said determining act; 4.) combining the frames into segments in each of said video, audio and text sub-streams; 5.) computing an importance value per segment for each segment from said combining act; 6.) ranking the segments based on said computed importance value at said computing step; and 7.) identifying key elements based on said ranked segments.
6. The method of claim 1 , wherein the act of identifying video, audio and text key elements from said video, audio and text sub-streams further comprise the acts of: 1.) identifying low, mid and high level features from the plurality of frames which comprise said video, audio and text, substreams; 2.) determining an importance value to each of said extracted low, mid and high level features from said identifying act; 3.) computing a frame importance value for each of said plurality of frames which comprise said video, audio and text sub-streams as a function of the importance values of the feature importance values determined at said determining act; 4.) combining the frames into segments in each of said video, audio and text sub-streams; 5.) computing an importance value per segment for each segment from said combining act; 6.) ranking the segments based on said computed importance value at said computing step; and 7.) identifying key elements based on said ranked segments. 14. The method of claim 6 , wherein said step (5) of computing an importance value per segment further comprises averaging the frame importance values for those frames which comprise said segment.