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Context-Aware Video Production - Context Awareness, Context Enhanced Retrieval of Video, Vision

information standards data recording

Definition: Context-aware video production allows using context to describe and store information about the involved physical or computational entities.

Context Awareness

There are several ways applications can utilize information about their context . When considering what context can serve for video at least two types of context are well known and supported by international standards: delivery and presentation [MPEG Coding Standards, Scalable Video Coding]. But these are mostly standards that include little support for context aware video production. When focusing on the production of video, context can be used to describe and store information about the situation of involved physical or computational entities. By using standards as MPEG-7, it is possible to store this information in a reusable manner, but the lack of standards to seamlessly integrate different sensors into a recording environment limits a broad utilization of contextual information.

Context Enhanced Retrieval of Video

In terms of context-aware multimedia video is a very complex medium. Its continuous character and large amount of data compared to other media types demand highly sophisticated management tools, including semantic information to support the user while searching or browsing large video files or archives. To fulfill this demand many current video retrieval systems prefer manual annotations compared to automatic technologies.

If context information is used to tag video data while recording, the data can be used to improve the process of information retrieval for the user. A very general example of a context aware video recording system is Life Log . It combines the ideas of wearable and ubiquitous computing to a system that records a person’s diary by using camera, microphone and various sensors. The collected context information is used to automatically mark key scenes of the video. While browsing or searching in the recorded data the generated keys improve the retrieval experience. Another interesting, recent development in movie production considering the users context is reported in.


While e.g. Life Log has little previous knowledge about the recorded situation, the results should be even more promising when the scenario has defined structures or even a planned timeline. Applying this information in a context-aware recording system, to automatically link the recorded video and its already existing related production artifacts, would create cheap semantic annotations. Additional information about the context that was stored with the video and the attained semantic links to pre-produced information could make manual annotation obsolete.


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