One of Google Summer Of Code projects
Suppose you have a set of captions lines from a few minutes of newscast. When a person reads these captions he can immediately tell you which topic is being discussed, e.g. “it’s about US president election” or “it’s about a species of fish that can jump out of water ”.
We want you to do a research on how to summarize a set of given captions lines to tell a topic of them. For each method you should describe whether or not it can be applied on a stream of closed captions. Focus on advantages and disadvantages, accuracy, resources requirements (cpu, gpu, memory), implementation and maintenance difficulty, available implementations ... all in the context of closed captions.
Please, note that majority of methods you find are dedicated to document summarization, but closed captions are completely different from documents: they include dialogues, advertisements, songs lyrics and are poorly formatted (like sometimes there's no punctuation). So you should consider that in your research.
Then, when the right method is selected, you should implement it and integrate with CCR