Data highlighting and extraction

We are facing an explosion in availability of online content, in particular accessing audio, video, and other data is considered to be driving the expansion of the Internet to accommodate access needs. However, time availability for accessing such data remains constrained and it is becoming more imperative that a technology be utilized to package the data, for example, as a Collective Cut, to facilitate its consumption by pre-identifying portions of the data that are expected to be interesting to a consumer. Such packaging has many possibilities. For example, in the audio context, audio data could be presented to a consumer with specific portions of an audio presentation highlighted as the best portions to listen to if the consumer lacks sufficient time to listen to the entire presentation. In the video context, video highlights for a movie or other consumable data may be provided, allowing a consumer to electively skip through the highlights if there is insufficient time and/or interest in viewing the entire