Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic Domain Classification for Fractal Image Compression   Fractal image compression is attractive except for its high encoding time
requirements. The image is encoded as a set of contractive affine
transformations. The image is partitioned into non-overlapping range blocks,
and a best matching domain block larger than the range block is identified.
There are many attempts on improving the encoding time by reducing the size of
search pool for range-domain matching. But these methods are attempting to
prepare a static domain pool that remains unchanged throughout the encoding
process. This paper proposes dynamic preparation of separate domain pool for
each range block. This will result in significant reduction in the encoding
time. The domain pool for a particular range block can be selected based upon a
parametric value. Here we use classification based on local fractal dimension.

23
The categories of this paper are: solv-int
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph