[XviD-devel] Extended BFrame support

Dirk Knop xvid-devel@xvid.org
Wed, 06 Nov 2002 18:35:14 +0100


This is a multi-part message in MIME format.
--------------080801020105090901000807
Content-Type: text/plain; charset=us-ascii; format=flowed
Content-Transfer-Encoding: 7bit

Hello everybody,

I've been playing around with sysKin today at BFrames and proper support 
for them (e.g. through VfW interface).
We added a few flags for the stats-files (we're just tesing gruel, 
that's no final thing ;) ):

#define NNSTATS_KEYFRAME    (1<<31)
#define NNSTATS_BFRAME        (1<<30)
#define NNSTATS_SKIPFRAME    (1<<29)

And added the values 2 for bframes and 3 for skipped frames to 
pFrame->intra.

After playing around with it a little I found that the frame-sizes get 
re-sorted to reflect the resorting process for the container format, but 
the frame-type flags aren't! That's a little weird and not at all to 
handle from vfw, since vfw can't guess what's a bframe, pfame or iframe 
from anything (caused by the dynamic I/P/B-decision on 1st pass).

sysKin managed to give full control over the second pass back, but 
unfortunately I can't do much more without having sorted this issue out.

Can someone look into this?

Find attached the latest encoder.c that sysKin gave me to play with and 
my first adoption of vfw (debugview output).

Best regards,
Koepi

--------------080801020105090901000807
Content-Type: application/x-zip-compressed;
 name="encoder.c.zip"
Content-Transfer-Encoding: base64
Content-Disposition: inline;
 filename="encoder.c.zip"
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--------------080801020105090901000807
Content-Type: application/x-zip-compressed;
 name="vfw-update.zip"
Content-Transfer-Encoding: base64
Content-Disposition: inline;
 filename="vfw-update.zip"
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--------------080801020105090901000807--