{'fraction_non_alphanumeric': 0.020316027088036117, 'fraction_numerical': 0.0, 'mean_word_length': 4.913333333333333, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Real-Time Video Stream Key Frame Identification Algorithm for QoS

As the rapid development of Internet technology and the deployment of Internet multimedia applications, it’s urgent to solve the QoS problems of the real-time multimedia services in the network for clients. This paper proposes a real-time video stream key frame identification algorithm for QoS, named RVKI. In this algorithm, the frame type of IP packets could be identified at the real-time multimedia server and be marked. This result can be used for some autonomic QoS management to improve the success of IP packets transmission to the client, which carrying real-time multimedia key frame information, while network congestion appeared but could not decrease the packet loss of this application. Test has shown that RVKI can effectively dissect key frame in the real-time multi-media stream and helpful for QoS.