A Fast Decision Algorithm for VVC Intra-Coding Based on Texture Feature and Machine Learning

Table 3

Comparison of coding performance between the algorithm in this paper and literature [17], literature [26], and literature [31].

Sequence type	Test sequence	Wang [17]		Yang [26]		Chen [31]		Proposed
		BDBR (%)	△T (%)	BDBR (%)	△T (%)	BDBR (%)	△T (%)	BDBR (%)	△T (%)
B	Basketball drive	4.22	67.98	1.93	59.51	3.09	65.34	2.83	60.67
	BQ terrace	3.47	48.57	2.07	56.07	1.16	49.46	1.76	55.37
	Cactus	4.14	49.20	1.26	51.84	1.74	55.97	1.57	50.63
	Kimono	1.97	65.40	1.9	63.87	1.72	55.31	1.08	50.18
	Park scene	5.08	60.80	1.53	56.6	1.28	56.36	0.97	49.23
C	Basketball drill	6.64	44.61	2.01	48.19	1.91	53.19	1.94	52.43
	BQ mall	4.87	30.19	1.34	47.36	1.79	56.51	1.76	50.22
	Party scene	1.90	40.25	0.6	45.73	0.28	41.76	0.91	50.07
	Race horsesC	2.42	36.24	1.16	48.39	0.84	52.14	1.08	49.23
D	Basketball pass	9.21	49.33	1.28	50.16	2.02	54.15	1.43	55.24
	BQ square	4.53	37.47	0.81	46.06	0.17	32.35	0.86	49.47
	Blowing bubbles	2.36	27.65	0.77	41.56	0.49	43.97	1.03	49.91
	Race horses	2.74	29.33	0.86	43.17	0.54	44.94	0.94	53.17
E	Four people	5.08	43.10	2.75	57.64	2.55	62.27	1.62	53.35
	Johnny	7.33	52.27	3.29	58.98	3.07	62.61	1.73	54.31
	Kristen and Sara	5.15	43.34	2.51	59.19	2.26	60.83	1.16	53.48
	Average	4.44	45.36	1.63	52.15	1.56	52.95	1.42	52.31