{'fraction_non_alphanumeric': 0.03781979977753059, 'fraction_numerical': 0.014460511679644048, 'mean_word_length': 4.960264900662252, '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}}
Spatio-temporal scalability based on motion-compensated DCT temporal filters

In this paper, a motion compensated temporal filtering (MCTF) framework based on the discrete cosine transform (DCT) is proposed and named MCDCT-TF. It is able to employ filters of any length with particular emphasis on 5/3 DCT and 7/4 DCT. The proposed MCDCT-TF and the two-dimensional (2-D) DCT decimation technique are incorporated into H.264/AVC to provide spatio-temporal scalability. Compared with the current MCTF schemes such as Haar, and 5/3 wavelet filters, simulation results show that the proposed MCDCT-TF utilizing longer tap DCT filters achieves a significant improvement in coding gain. Moreover, the performance gap between the presented scalable video coding and the single layer H.264/AVC is small. However, the presented spatio-temporal coding scheme outperforms the spatio-temporal supported in JSVM.