{'fraction_non_alphanumeric': 0.02702702702702703, 'fraction_numerical': 0.0, 'mean_word_length': 5.0590909090909095, '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}}
Scalable Wyner-Ziv video coding with adaptive bit-plane representation

Wyner-Ziv video coding is committed to the compression of video with low computing resources. Since the encoding may stop at any time for mobile devices with limited computing resources and bandwidth, it is also desirable to have the scalable Wyner-Ziv video coding. The bit-plane coding is an inherent solution of scalable video coding. However, the conventional bit-plane representation in hybrid video coding does not work well in the scenario of Wyner-Ziv coding. Since the bit-plane representation is closely related to quantization, we propose a new bit-plane representation with optimal quantization at any bit-plane in terms of Wyner-Ziv coding. In particular, for the DCT-domain Wyner-Ziv video coding, the distribution of DCT coefficients and the conditional distribution given side information can be modeled with symmetric Laplacian functions. Accordingly, a simplified adaptive bit-plane representation is proposed without pre-knowing the Laplacian distribution parameters. A DCT-domain scalable Wyner-Ziv video coding scheme is then developed, in which the encoding can stop at any bit-plane and the bit-stream can also be flexibly truncated. The testing has shown that there is no performance penalty due to the unpredicted bit-plane truncation.