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Abstract
This paper presents an algorithm for content-based bit rate allocation for video coding in order to improve rate-distortion (R-D) performance. A fuzzy tool is developed to analyze different areas of a frame. This tool attributes a level of interest to each macroblock. It is effective for a very large range of natural pictures. Beginning with the segmentation of the original picture, a non-hierarchical fuzzy model allows combining the results of distinct criteria in order to increase the reliability of the system and provide convergence to a meaningful final result. R-D optimal rate allocation is done taking help of the fuzzy model and human visual system. The model developed is incorporated in TM5 rate control algorithm and the results are compared with the same.
Additional information
Notes on contributors
Vinaya V. Gohokar
Vinaya V. Gohokar working as Professor in department of Electronics and Telecommunication Engineering, S.S.G.M.C.E., Shegaon, Maharastra. She received her PhD from Amaravati university in the field of video processing. Her areas of interest are image and video processing, microwave communication and signal processing.
E-mail: [email protected]
Vijay N. Gohokar
Vijay N. Gohokar working as Principal and professor in department of Electrical Engineering, Shri Sant Gajanan Maharaj College of Engineering, Shegaon, Maharastra. He received his PhD from Amaravati university.
His employment experience included the teaching in the area of power system, laboratory work in switchgear and protection, electrical power and switchgear automation. His special fields of interest includes distribution automation.
E-mail: [email protected]