{'fraction_non_alphanumeric': 0.025165562913907286, 'fraction_numerical': 0.017218543046357615, 'mean_word_length': 5.048, '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}}
Joint source and channel loss rate-distortion optimization using packet loss visibility for H.264

The video quality after source compression loss and communication channel loss is very important for user experience in consumer electronic. In this paper, we propose a rate-distortion optimization method considering not only source loss, but also channel loss. We modify the source Lagrangian function in the H.264 to further consider channel loss effects, measured by a packet loss visibility model. The experiment shows that compared to the H.264 standard, the proposed method can achieve better combined source-loss and channel-loss video quality, where the winning percentage in channel-loss video quality can be up to 90.63% compared to the standard.