Multimedia Data Mining
February 3, 2016
I read “Knowledge Discovery using Various Multimedia Data Mining Technique.” The write up is an Encyclopedia Britannica type summary of the components required to make sense of audio and video.
I noted this passage:
In this paper, we addressed data mining for multimedia data such as text, image, video and audio. In particular, we have reviewed and analyzed the multimedia data mining process with different tasks. This paper also described the clustering models using video for multimedia mining.
The methods used by the systems the author considered use the same numerical recipes which most search vendors know, love, rely upon, and ignore the known biases of the methods: Regression, time series, etc.
My take away is that talk about making sense of the flood of rich media is a heck of a lot easier than processing the video uploaded to Facebook and YouTube in a single hour.
The write up does not mention companies working in this farm yard. There are some nifty case studies to reference as well; for example, Exalead’s video search and my touchstone, Google YouTube and Google Video Search. Blinkx (spun out of Autonomy, a semi famous search outfit) is a juicy tale as well.
In short, if you want to locate videos, one has to use multiple tools, ask people where a video may be found, or code your own solution.
Stephen E Arnold, February 3, 2016
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