Retrieval Architecture with Classified Query for Content Based Image Recognition

Table 5

Category wise comparison of precision results of the proposed technique with the state-of-the art techniques.

Categories	Proposed	Subrahmanyam et al., 2012 [34]	Jalab, 2011 [30]	Walia and Pal, 2014 [25]	Hiremath and Pujari, 2007 [28]	Yue et al., 2011 [35]	Rahimi and Moghaddam, 2015 [33]
Tribals	80	54.1	32.3	54	48	58.75	41.8
Sea beach	60	48.3	61.2	51	34	41.19	44.6
Gothic structure	60	40.2	39.2	38	36	42.35	49.2
Bus	80	89.5	39.5	46	61	71.69	30.5
Dinosaur	100	97.7	99.6	100	95	74.53	55.4
Elephant	80	39.1	55.7	63	48	65.08	69.9
Roses	80	85.9	89.3	90	61	83.24	61.1
Horses	100	81.4	65.2	93	74	69.3	57.2
Mountains	80	32	56.8	48	42	44.86	43.7
Food	60	41	44.1	39	50	44.54	43.5
Average precision	78	60.9	58.29	62.2	54.9	59.55	49.69