Low-complexity and high quality frame-skipping transcoder

Abstract

Transcoding is a process of converting a previously compressed video bitstream into a lower bit-rate bitstream. When some incoming frames are dropped for the frame-rate conversion in transcoding, the newly quantized DCT coefficients of prediction error need to be re-computed. In this paper, we propose a new architecture for low-complexity frame-rate reduction. The proposed algorithm is mainly performed on the discrete cosine transform (DCT) domain to achieve low complexity as well as to reduce the re-encoding error. Experimental results show that, as compared to the conventional transcoder, the new frame-skipping transcoder is more robust, produces smaller requantization errors, and has simple computational complexity.