Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several scene-detection algorithms, which are only based on bit rate fluctuations, have been proposed. All of them are presented on the fixed thresholds, which are obtained by the empirical records of the video characteristics. Due to the sensitivity of these methods to the accuracy of the records, which are generally obtained by testing several values repeatedly, bad performance evaluation might be observed for the actual scene detection, especially for real-time video traffic. ,  review the previous works in this area, and study the correlation beten the scene duration and the scene change at the frame level, and simultaneously investigate the local statistical characteristics of scenes such as variance and peak bit rate etc. Based on this analysis, an effective decision function is first constructed for the scene segmentation. Then,  propose a scene-detection algorithm using the defined dynamic threshold model, which can capture the statistical properties of the scene changes. Experimental results using 15 variable bit rate MPEG video traces indicate good performances of the proposed algorithm with significantly improved scene-detection accuracy.
['Hongliang Li', 'Guizhong Liu', 'Zhongwei Zhang', 'Yongli Li']
I am writing a research paper on a idea Adaptive scene-detection algorithm for VBR video stream
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive scene-detection algorithm for VBR video stream"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Several scene-detection algorithms, which are only based on bit rate fluctuations, have been proposed. All of them are presented on the fixed thresholds, which are obtained by the empirical records of the video characteristics. Due to the sensitivity of these methods to the accuracy of the records, which are generally obtained by testing several values repeatedly, bad performance evaluation might be observed for the actual scene detection, especially for real-time video traffic. ,  review the previous works in this area, and study the correlation beten the scene duration and the scene change at the frame level, and simultaneously investigate the local statistical characteristics of scenes such as variance and peak bit rate etc. Based on this analysis, an effective decision function is first constructed for the scene segmentation. Then,  propose a scene-detection algorithm using the defined dynamic threshold model, which can capture the statistical properties of the scene changes. Experimental results using 15 variable bit rate MPEG video traces indicate good performances of the proposed algorithm with significantly improved scene-detection accuracy."}]