• Ansari Vaqar

In this paper the advantages and limitations of various optimization techniques are compared. Optimization techniques can be solved by assignment problems and or by transportation problems. The transportation model is kind of a distinct class of linear programming problems in which the aim is to get minimum total cost while transporting a single commodity from various source points to different destinations. The proposed work checks the effectiveness of Hungarian optimization, ANOVA, Northwest-corner rule, Least-Cost method, Vogel's approximation, and MODI optimization etc. The proposed work is the comparative study of these optimization approached in Error Concealment in video coding, while compressing H.264 video codec. The MODI optimization is best suited for transportation problem as far as minimum cost and speed of execution is concern, whereas Hungarian Optimization is best suited for both maximization and minimization assignment problem. The proposed study proves that, the Hungarian optimization approach is most suitable in selecting appropriate Error Concealment algorithms in various packet loss rates ranging from 3% to 20% and quantization parameters ranging from 24 to 36, for good quality frame reconstruction with less execution time. Due to optimizing high PSNRs, by selecting apocopate EC methods will be suitable for reconstructing errored video frame even for high packet loss rates over long distance transmission.

Linear programming, Transportation problems, Optimization Techniques, Error Concealment.

"Analysis of Optimization Techniques to Check Effectiveness in Error Concealment on Video Coding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.313-319, April-2019, Available :http://www.jetir.org/papers/JETIR1904757.pdf

"Analysis of Optimization Techniques to Check Effectiveness in Error Concealment on Video Coding", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp313-319, April-2019, Available at : http://www.jetir.org/papers/JETIR1904757.pdf