Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents a parameter-based model for predicting the perceived quality of transmitted video for IPTV applications. The core model  derived can be applied both to service monitoring and network or service planning. In its current form, the model covers H.264 and MPEG-2 coded video (standard and high definition) transmitted over IP-links. The model includes factors like the coding bit-rate, the packet loss percentage and the type of packet loss handling used by the codec. The paper provides an overview of the model, of its integration into a multimedia model predicting audio-visual quality, and of its application to service monitoring. A performance analysis is presented showing a high correlation with the results of different subjective video quality perception tests. An outlook highlights future model extensions.
['Alexander Raake', 'Marie-Neige Garcia', 'Sebastian Möller', 'J. Berger', 'Fredrik Kling', 'Peter List', 'Jens Johann', 'Cornelius Heidemann']
I am writing a research paper on a idea T-V-model: Parameter-based prediction of IPTV quality
[{"from": "human", "value": "I am writing a research paper on a idea T-V-model: Parameter-based prediction of IPTV quality"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The paper presents a parameter-based model for predicting the perceived quality of transmitted video for IPTV applications. The core model  derived can be applied both to service monitoring and network or service planning. In its current form, the model covers H.264 and MPEG-2 coded video (standard and high definition) transmitted over IP-links. The model includes factors like the coding bit-rate, the packet loss percentage and the type of packet loss handling used by the codec. The paper provides an overview of the model, of its integration into a multimedia model predicting audio-visual quality, and of its application to service monitoring. A performance analysis is presented showing a high correlation with the results of different subjective video quality perception tests. An outlook highlights future model extensions."}]