A human-machine cooperative approach for combinatorial optimization problem

Yan, Xueming; Huang, Han; Zhang, Hao; Chen, Yingjie

doi:10.1109/icmlc.2016.7872996

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…One effective way to solve this problem is to use a combinatorial approach [36] which can enhance the predictive performance. This operation could lead to selection of best predictor which should be considered for further selection operation for obtaining best result.…”

Section: Fig2 Significance Of Prediction In Compressionmentioning

confidence: 99%

Insights on Video Compression Strategies using Machine Learning

Rao

2019

IJEAT

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With the rising advancement of the multimedia technology, video compression is becoming a challenging problem. Although, there is availability of various standard compression algorithms, yet robust compression performance is yet to be seen in existing compression techniques. This paper also highlights that machine learning plays a significant contributory role in improving the performance of the video compression. Therefore, this manuscript offers a technical insight about the performance of existing video compression technique using machine learning approach. The contribution of this paper is its findings which states that machine learning approach do have significant advantage but the advantageous features are limited by the inherent and unsolved research problem. The core findings of this paper are basically to highlight the strength and limitations of existing methods as well as to highlight the research gap in terms of open-end research problems which requires immediate attention.

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Section: Fig2 Significance Of Prediction In Compressionmentioning

confidence: 99%