How do you design and test video over IP solutions for frozen video resilience and robustness?

2 How to detect frozen video?

Frozen video detection is the process of identifying and measuring the occurrence and duration of frozen video events. Frozen video detection can be done at different levels, such as the network layer, the application layer, or the user layer. At the network layer, frozen video detection can be based on monitoring the packet loss rate, the delay variation, or the throughput. At the application layer, frozen video detection can be based on analyzing the video frames, the codec parameters, or the playback buffer. At the user layer, frozen video detection can be based on collecting the user feedback, the quality ratings, or the eye tracking data.

3 How to repair frozen video?

Frozen video repair is the process of restoring the video continuity and quality after a frozen video event. Frozen video repair can be done at different levels, such as the sender side, the receiver side, or the intermediate nodes. At the sender side, frozen video repair can be based on adjusting the encoding bitrate, the frame rate, or the resolution. At the receiver side, frozen video repair can be based on applying error concealment, frame interpolation, or post-processing techniques. At the intermediate nodes, frozen video repair can be based on implementing packet retransmission, packet recovery, or packet prioritization schemes.

4 How to design frozen video resilient solutions?

Frozen video resilient solutions are those that can minimize the occurrence and impact of frozen video events. Frozen video resilient solutions can be designed by considering the following aspects: the network characteristics, the application requirements, and the user preferences. The network characteristics include the bandwidth, the latency, the packet loss rate, and the jitter of the transmission channel. The application requirements include the video format, the video quality, and the video content of the source. The user preferences include the tolerance, the expectation, and the satisfaction of the target audience.

5 How to test frozen video robust solutions?

Frozen video robust solutions are those that can perform well under various network conditions and user scenarios. Frozen video robust solutions can be tested by using the following methods: the simulation, the emulation, or the experimentation. The simulation method involves using mathematical models and software tools to mimic the network behavior and the video performance. The emulation method involves using hardware devices and software platforms to reproduce the network conditions and the video quality. The experimentation method involves using real networks and real users to measure the actual video experience and feedback.

6 How to improve frozen video detection and repair?

Frozen video detection and repair are challenging tasks that require constant research and innovation. Frozen video detection and repair can be improved by using the following approaches: the machine learning, the artificial intelligence, or the cloud computing. The machine learning approach involves using data-driven algorithms and models to learn from the past and predict the future frozen video events and patterns. The artificial intelligence approach involves using intelligent agents and systems to analyze and optimize the frozen video detection and repair processes. The cloud computing approach involves using distributed and scalable resources and services to enhance and support the frozen video detection and repair functions.