Designing better entropy-constrained vector quantizers via clustering and integral projections
T.-C. Wang, Hung-Ru Huang · 2002
This paper presents a novel algorithm, which combines both the merits of clustering and integral projections, to solve the entropy-constrained codebook design problem. The experimental results indicate that the proposed algorithm is very efficient and is capable of generating better codebooks than the ECVQ algorithm.