LeFreq · March 24, 2021 01:47
diff --git a/Video compression b/Video compression
 The deltas of successive frames should give decent cmopression (~10%), but you can conceivably get log2 n compression with categorization of your video data.
 To acheieve these high-rates of compression you need to categorize the seen as sets within sets.  A "car" is in the set "street" is in the set "city".  Each element of a set can have a further refiinement to a set of "qualities".  The element "car" can have the qualities "suburu", "deep green", "open", "in motion", etc.)
 Highest bit of categorization (say 32 bits for 4 billion different object in the world) is natural vs. civilization.  Consider the "chirality" of the data another 2-bifurcation.  For exaple man-make objects made with natural objects or man-made objects in the context of nature.
 Nature -> (landscape, aquatic, air&space, ) -> landscape (trees, rivers, mountains, seascapes) -\

 This is a start.  Someone can take this and use it as they wish, CC-A.
	The deltas of successive frames should give decent cmopression (~10%), but you can conceivably get log2 n compression with categorization of your video data.
	To acheieve these high-rates of compression you need to categorize the seen as sets within sets. A "car" is in the set "street" is in the set "city". Each element of a set can have a further refiinement to a set of "qualities". The element "car" can have the qualities "suburu", "deep green", "open", "in motion", etc.)
	Highest bit of categorization (say 32 bits for 4 billion different object in the world) is natural vs. civilization. Consider the "chirality" of the data another 2-bifurcation. For exaple man-make objects made with natural objects or man-made objects in the context of nature.
	Nature -> (landscape, aquatic, air&space, ) -> landscape (trees, rivers, mountains, seascapes) -\

	This is a start. Someone can take this and use it as they wish, CC-A.