Macroblock Layer Rate Control Based on Structural Similarity and Mean Absolute Difference for H.264 | Zendy

Xiao Chen | Zendy; Dongjue Gu | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Macroblock Layer Rate Control Based on Structural Similarity and Mean Absolute Difference for H.264

Author(s) -

Xiao Chen,

Dongjue Gu

Publication year - 2014

Publication title -

advances in multimedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.278

H-Index - 17

eISSN - 1687-5699

pISSN - 1687-5680

DOI - 10.1155/2014/680859

Subject(s) - macroblock , coding (social sciences) , computer science , image quality , artificial intelligence , similarity (geometry) , bit rate , computer vision , pattern recognition (psychology) , mathematics , image (mathematics) , real time computing , statistics

In the process of the H.264 video coding, special attention should be paid to the subjective quality of the image. This paper applies the structural similarity (SSIM) based subjective evaluation to the rate control in the H.264 coding and proposes to combine the SSIM and the mean absolute difference (MAD) to perform the macroblock layer bit allocation instead of the MAD. Experimental results show that the proposed method is correlating better with the human visual system and thus achieves better subjective image quality

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research