[mythtv] Commercial flagging paper in December IEEE Computer

[buzz]

Kinda just a suggestion or 2, but I think that the more approaches at
detecting adds Myth has the better.     Once there are more than a few
different possibly competing methods, then we add some code to myth so that
it learns from the user/s which "ad detection" schemes work bet in who
situations.    (think baysean learning for spam filters, but applied to
advert skipping).    YOu just give it as many "possibly applicable" advert
related data as possible, and then make it learn.     Actually, on reading
that again, my description sounds a lot more like a back-propogation neural
network than a baysean filter.  either way, it still works as a concept.

As far as the learning part goes:
It's pretty trivial to know when an "ad skip" was successful... if the ad
skip occurs and there was no user input/action required, then it was
good.
If you get the user doing stuff like skipping backward, pausing, or even
editing cut points when the system was otherwise idle (just
streaming recordings to the user) ... then the "ad skip" was bad, and should
be given a "lower" rating.

Speaking of that.... I don't know how many times I have wished there was a
binding/button in myth for  "the last ad skip was crap and I just want to
undo it and watch through it without skipping" - have I missed something,
and it's already in there?   - or is there an alternate way of getting the
same thing?

Buzz.
Myth Lover.

On 1/2/07, Søren Dalsgaard <soren at dalsgaards.dk> wrote:
>
> I have noticed that on my DVB-T signal it is very often the case that the
> movie is in 16:9 and the commercials before and after the programme is in
> 4:3.
>
> Perhaps it could be possible to add "format change" to the edit mode (cut
> point, key frame, 1 frame, 0.5 sec, 1 sec, ....) for a start?
>
> Thanks,
> Søren
>
>  On 31/12/06, Doug Larrick <doug at parkercat.org> wrote:
>
> > FYI:
> >
> > "Detecting Ads in Video Streams Using Acoustic and Visual Clues" is in
> > the December 2006 issue of IEEE Computer magazine.  Authors Michele
> > Covell and Shumeet Baluja, Google Research and Michael Fink, The Hebbrew
> > University of Jerusalem.
> >
> > The essence of the aproach described is to build a database of ads from
> > a body of accululated programming, under the assumption that any
> > material shown several times that's about the right length is an ad.
> > They initially look for repetition using audio only (lower computation
> > cost) and verify repetition by then looking at the video.
> >
> > The entire paper (in slightly different form) is here:
> > www.mangolassi.org/covell/pubs/mmsp06_ads.pdf
> >
> > -Doug
> >
> >
> >
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> >
> >
> >
> >
>
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