{'fraction_non_alphanumeric': 0.03642384105960265, 'fraction_numerical': 0.002207505518763797, 'mean_word_length': 5.298611111111111, '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}}
Perceptually adaptive hybrid video encoding based on just-noticeable-distortion profile

In this paper, just noticeable distortion (JND) profile based upon the human visual system (HVS) has been exploited to guide the motion search and introduce an adaptive filter for residue error after motion compensation, in hybrid video coding (e.g., H.26x and MPEG-x). Because of the importance of accurate JND estimation, a new spatial-domain JND estimator (the nonlinear additivity model for masking-NAMM for short) is to be firstly proposed. The obtained JND profile is then utilized to determine the extent of motion search and whether a residue error after motion compensation needs to be consine-tranformed. Both theoretical analysis and experimental data indicate significant improvement in motion search speedup, perceptual visual quality measure, and most remarkably, objective quality (i.e., PSNR) measure.