Sketch-based Image Retrieval: Effectivity Notion of Recent Approaches
作者： N Pavithra , Kumar YH Sharath , None
DOI: 10.1109/INCET49848.2020.9153999
关键词: Decision process 、 Interactive computing 、 Feature extraction 、 Computer science 、 Mobile device 、 Image retrieval 、 Sketch 、 Data science 、 Pace 、 Visualization
摘要: Retrieving image on the basis of using sketch as query is termed Sketch Based Image Retrieval (SBIR) which increasing its pace adoption motivated from nearly similar form free hand drawing identification in modern tablet, mobile devices, other interactive computing devices. There are various work carried out order to improve process SBIR especially accuracy viewpoint. However, there no significant discussions being over effectiveness recently implemented towards this direction. This manuscript contributes studying and discuss about research trend highlights open end issues field. The study framing up better decision before implementing readers by highlighting limitations well trends SBIR.
sci-hub.st 参考文章(32)
Guang Huang, Dong Wang, Shihui Guo, Xiaoying Chen, Minghong Liao, A novel generated method for high quality images 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI). pp. 175- 180 ,(2018) , 10.1109/ICACI.2018.8377602
Jingwei Qu, Xiaoqing Lyu, Chengcui Zhang, Penghui Sun, Bei Wang, Zhi Tang, PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). pp. 45- 50 ,(2018) , 10.1109/MIPR.2018.00016
Penghui Sun, Yan Chen, Xiaoqing Lyu, Bei Wang, Jingwei Qu, Zhi Tang, A Free-Sketch Recognition Method for Chemical Structural Formula document analysis systems. pp. 157- 162 ,(2018) , 10.1109/DAS.2018.28
Daniele Giunchi, Stuart James, Anthony Steed, Model Retrieval by 3D Sketching in Immersive Virtual Reality 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). pp. 559- 560 ,(2018) , 10.1109/VR.2018.8446609
Yu Zhao, Jingyu Wang, Qi Qi, MindCamera: Interactive Image Retrieval and Synthesis multidimensional signal processing workshop. pp. 1- 5 ,(2018) , 10.1109/IVMSPW.2018.8448722
Yikun Wang, Liang Chang, Yuhua Cheng, Lihua Jin, Zhengxin Cheng, Xiaoming Deng, Fuqing Duan, Text2Sketch: Learning Face Sketch from Facial Attribute Text 2018 25th IEEE International Conference on Image Processing (ICIP). pp. 669- 673 ,(2018) , 10.1109/ICIP.2018.8451236
Stanisław Deniziak, Tomasz Michno, Query by Approximate Shapes Image Retrieval with Improved Object Sketch Extraction Algorithm federated conference on computer science and information systems. ,vol. 15, pp. 555- 559 ,(2018) , 10.15439/2018F279
G. G. Rajput, Prashantha, B. Geeta, Face Photo Recognition from Sketch Images Using HOG descriptors international conference inventive communication and computational technologies. pp. 555- 558 ,(2018) , 10.1109/ICICCT.2018.8473207
Xingyuan Wu, Yonggang Qi, Jun Liu, Jie Yang, Sketchsegnet: A Rnn Model for Labeling Sketch Strokes international workshop on machine learning for signal processing. pp. 1- 6 ,(2018) , 10.1109/MLSP.2018.8516988
Xinzhe Li, Xiao Yang, Hang Su, Qin Zhou, Shibao Zheng, Recognizing Facial Sketches by Generating Photorealistic Faces Guided by Descriptive Attributes IEEE Access. ,vol. 6, pp. 77568- 77580 ,(2018) , 10.1109/ACCESS.2018.2883463