[1] [1] Yan C G, Gong B, Wei Y X, et al. Deep multi-view enhancement hashing for image retrieval[J]. IEEE Trans Pattern Mach Intell, 2021, 43(4): 1445–1451.

[4] [4] Celik C, Bilge H S. Content based image retrieval with sparse representations and local feature descriptors: a comparative study[J]. Pattern Recognit, 2017, 68: 1–13.

[5] [5] Agarwal M, Maheshwari R P. HOG feature and vocabulary tree for content-based image retrieval[J]. Int J Signal Imaging Syst Eng, 2011, 3(4): 246–254.

[6] [6] Hu R, Barnard M, Collomosse J. Gradient field descriptor for sketch based retrieval and localization[C]//Proceedings of 2010 IEEE International Conference on Image Processing, Hong Kong, China, 2010: 1025–1028.

[7] [7] Joolee J B, Lee Y K. Video retrieval based on image queries using THOG for augmented reality environments[C]//Proceedings of 2018 IEEE International Conference on Big Data and Smart Computing, Shanghai, China, 2018: 557–560.

[9] [9] Pavithra L K, Sharmila T S. An efficient framework for image retrieval using color, texture and edge features[J]. Comput Elect Eng, 2018, 70: 580–593.

[10] [10] Bella M I T, Vasuki A. An efficient image retrieval framework using fused information feature[J]. Comput Elect Eng, 2019, 75: 46–60.

[11] [11] Garg M, Dhiman G. A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants[J]. Neural Comput Appl, 2020, 33(4): 1311–1328.

[12] [12] Danapur N, Dizaj S A A, Rostami V. An efficient image retrieval based on an integration of HSV, RLBP, and CENTRIST features using ensemble classifier learning[J]. Multimed Tools Appl, 2020, 79(33): 24463–24486.

[13] [13] Khwildi R, Ouled Zaid A. HDR image retrieval by using color-based descriptor and tone mapping operator[J]. Vis Comput, 2020, 36(8): 1111–1126.

[14] [14] Farid H, Simoncelli E P. Differentiation of discrete multidimensional signals[J]. IEEE Trans Image Process, 2004, 13(4): 496–508.

[15] [15] Felzenszwalb P F, Girshick R B, McAllester D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Trans Pattern Anal Mach Intell, 2010, 32(9): 1627–1645.

[16] [16] Kou Q Q, Cheng D Q, Zhuang H D, et al. Cross-complementary local binary pattern for robust texture classification[J]. IEEE Signal Process Lett, 2018, 26(1): 129–133.

[17] [17] Zhang H X, Jiang M, Kou Q Q. Color image retrieval algorithm fusing color and principal curvatures information[J]. IEEE Access, 2020, 8: 184945–184954.

[18] [18] Wang J Z, Li J, Wiederhold G. SIMPLIcity: semantics-sensitive integrated matching for picture libraries[J]. IEEE Trans Pattern Anal Mach Intell, 2001, 23(9): 947–963.

[19] [19] Nene S A, Nayar S K, Murase H. Columbia object image library (COIL-100)[R]. New York: Columbia University, 1996.

[20] [20] Kavitha H, Sudhamani M V. Object Based Image Retrieval from Database Using Combined Features[C]//Proceedings of the 2014 Fifth International Conference on Signal and Image Processing. IEEE, Bangalore, INDIA ,2014: 161–165.

[22] [22] Kundu M K, Chowdhury M, Bulo S R. A graph-based relevance feedback mechanism in content-based image retrieval[J]. Knowl-Based Syst, 2015, 73: 254–264.

[23] [23] Dubey S R, Singh S K, Singh R K. Multichannel decoded local binary patterns for content-based image retrieval[J]. IEEE Trans Image Process, 2016, 25(9): 4018–4032.

[25] [25] Somnugpong S, Khiewwan K. Content-based image retrieval using a combination of color correlograms and edge direction histogram[C]//Proceedings of the 2016 13th International Joint Conference on Computer Science and Software Engineering, Khon Kaen, Thailand, 2016: 1–5.

[26] [26] Xiao Y, Wu J X, Yuan J S. mCENTRIST: a multi-channel feature generation mechanism for scene categorization[J]. IEEE Trans Image Process, 2014, 23(2): 823–836.

[27] [27] Ahmed K T, Ummesafi S, Iqbal A. Content based image retrieval using image features information fusion[J]. Inf Fusion, 2019, 51: 76–99.