EURASIP Journal on Advances in Signal Processing

Table 6 The comparison of F1-measure

From: Taking advantage of motif matrix inference for rotated image indexing and retrieval

	F1-measure
	MMI	SED	HSVH	CCM	DBPSP	MCMCM	MCMCM&DBPSP
human beings	0.6208	0.5942	0.4718	0.3617	0.2334	0.4141	0.3327
landscapes	0.3135	0.2856	0.4237	0.3067	0.2270	0.4678	0.3173
departments	0.4380	0.5800	0.3963	0.3130	0.3199	0.3163	0.3513
busses	0.4191	0.5657	0.4859	0.4747	0.4524	0.4961	0.3862
dinosaurs	0.9964	0.7217	0.7468	0.8151	0.3812	0.8968	0.7862
elephants	0.5031	0.3060	0.3562	0.2648	0.2391	0.2980	0.2811
flowers	0.7746	0.7232	0.3524	0.7623	0.7138	0.6702	0.6824
horses	0.4755	0.4601	0.6953	0.3761	0.2368	0.5202	0.4714
mountains	0.2139	0.3128	0.3172	0.2817	0.1871	0.2616	0.2325
foods	0.4007	0.4276	0.3743	0.3187	0.2509	0.3084	0.4703
Mean F1-measure	0.5156	0.4977	0.4620	0.4275	0.3242	0.4650	0.4311

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