[
Aarthi S., Chitrakala S., Scene Understanding - A Survey, in IEEE International Conference on Computer, Communication, and Signal Processing (ICCCSP-2017), 2017.10.1109/ICCCSP.2017.7944094
]Search in Google Scholar
[
Ali A.R., Shahid U., Ali M., High-Level Concepts for Affective Understanding of Images, IEEE Winter Conference on Applications of Computer Vision, 2017, 1-9.10.1109/WACV.2017.81
]Search in Google Scholar
[
Csurka G., Dance C.R., Fan L., Willamowski J., Bray C., Visual Categorization with Bags of Key Points, Workshop on Statistical Learning in Computer Vision, ECCV, Vol. 1, 2004.
]Search in Google Scholar
[
Felzenszwalb P.F., Girshick R.B., McAllester D., Ramanan D., Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 1627-1645.10.1109/TPAMI.2009.167
]Search in Google Scholar
[
Gorkani M.M., Picard R.W., Texture Orientation for Sorting Photos “at a Glance”, Proceedings of 12th International Conference on Pattern Recognition Vol. 1, 1994, 459-464.
]Search in Google Scholar
[
Guerin-Dugue A., Oliva A., Classification of Scene Photographs from Local Orientations Features, Pattern Recognition Letters, 2000, 1135-1140.10.1016/S0167-8655(00)00074-X
]Search in Google Scholar
[
Herranz L., Jiang S., Li X., Scene Recognition with CNNs: Objects, Scales and Dataset Bias, International Conference on Computer Vision and Pattern Recognition (CVPR16), 2016.10.1109/CVPR.2016.68
]Search in Google Scholar
[
Hoiem D., Efros A.A., Hebert M., Automatic Photo Pop-Up, ACM Transactions on Graphics (TOG), 2005, 577-584.10.1145/1073204.1073232
]Search in Google Scholar
[
Julesz B., Texton Gradients: The Texton Theory Revisited, Biological Cybernetics, 1986, 245-251.10.1007/BF003184203741897
]Search in Google Scholar
[
Julesz B., Textons, the Elements of Texture Perception and Their Interactions, Nature, 1981, 91-97.10.1038/290091a07207603
]Search in Google Scholar
[
Lazebnik S., Schmid C., Ponce J., Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, in 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2169-2178, 2006.
]Search in Google Scholar
[
Lee C.-Y., Badrinarayan V., Malisiewicz T., Rabinovich A., Roomnet: End-to-End Room Layout Estimation, IEEE International Conference on Computer Vision, 2017, 4875-4884.10.1109/ICCV.2017.521
]Search in Google Scholar
[
Li F.F., VanRullen R., Koch C., Perona P., Natural Scene Categorization in the Near Absence of Attention: Further Explorations, Journal of Vision, 2003, 331-331.10.1167/3.9.331
]Search in Google Scholar
[
Li L.-J., Su H., Xing E. P., Fei-Fei L., Object bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification, Advances in Neural Information Processing Systems, 2010, 1378-1386.
]Search in Google Scholar
[
Li L., Fei-Fei Li, What, where and who? Classifying Events by Scene and Object Recognition, in IEEE 11th International Conference on Computer Vision, pp. 1-8, 2007.10.1109/ICCV.2007.4408872
]Search in Google Scholar
[
Li F.-F., Pietro P., A Bayesian Hierarchical Model for Learning Natural Scene Categories, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 2, pp. 524-531, 2005.
]Search in Google Scholar
[
Lin D., Xio J., Characterizing Layout of Outdoor Scenes Using Spatial Topic Processes, IEEE International Conference on Computer Vision, 2013, 1-8.10.1109/ICCV.2013.109
]Search in Google Scholar
[
Lipson P., Grimson E., Sinha P., Configuration Based Scene Classification and Image Indexing, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1007-1013, 1997.
]Search in Google Scholar
[
Mallya A., Lazebnik S., Learning Informative Edge Maps for Indoor Scene Layout Prediction, IEEE International Conference on Computer Vision, 936-944, 2015.10.1109/ICCV.2015.113
]Search in Google Scholar
[
Marr D., Vision: A Computational Approach, Henry Holt and Co., 1982.
]Search in Google Scholar
[
Murphy K., Torralba A., Freeman W.T., Using the Forest to See the Trees: A Graphical Model Relating Features, Objects And Scenes, in Advances in Neural Information Processing Systems, pp. 1499-1506, 2003.
]Search in Google Scholar
[
Oliva A., Torralba A., Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope, in International Journal of Computer Vision, pp. 145-175, 2001.10.1023/A:1011139631724
]Search in Google Scholar
[
Oliva A., Object Recognition and Scene Understanding Course, http://people.csail.mit.edu/torralba/courses/6.870/slides/lecture5.pdf, 2008.
]Search in Google Scholar
[
Pandey M., Lazebnik S., Scene Recognition and Weakly Supervised Object Localization with Deformable Part Based Models, in IEEE International Conference on Computer Vision, pp. 1307-1314, 2011.10.1109/ICCV.2011.6126383
]Search in Google Scholar
[
Pawar P.G., Devendran D.V., Scene Understanding: A Survey to See the World at a Single Glance, 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT), 2019, 182-186.10.1109/ICCT46177.2019.8969051
]Search in Google Scholar
[
Ralescu et al., Image Understanding = Verbal Description of the Image Contents, in SOFT, Journal of the Japanese Society for Fuzzy Theory, pp. 739-746, 1995.10.3156/jfuzzy.7.4_739
]Search in Google Scholar
[
Renninger L.W., Malik J., When is Scene Identification Just Texture Recognition?, Vision Research, 2004, 2301-2311.10.1016/j.visres.2004.04.006
]Search in Google Scholar
[
Rosch E.H., Natural Categories, in Cognitive Psychology, pp. 328-350, 1973.10.1016/0010-0285(73)90017-0
]Search in Google Scholar
[
Rosch E., Mervis C.B., Family Resemblances: Studies in the Internal Structure of Categories, in Cognitive Psychology, pp. 573-605, 1975.10.1016/0010-0285(75)90024-9
]Search in Google Scholar
[
Rosch E., Mervis C.B., Gray W.D., Johnson D.M., Boyes-Braem P., Basic Objects in Natural Categories, in Cognitive Psychology, pp. 382-439, 1976.10.1016/0010-0285(76)90013-X
]Search in Google Scholar
[
Serrano N., Savakis A., Luo J., Improved Scene Classification Using Efficient Low-Level Features and Semantic Cues, in Pattern Recognition, pp. 1773-1784, 2004.10.1016/j.patcog.2004.03.003
]Search in Google Scholar
[
Singh V., Girish D., Ralescu A., Image Understanding - A Brief Review of Scene Classification and Recognition, MAICS 2017: The 28th Modern Artificial Intelligence and Cognitive Science Conference, 2017, 85-91.
]Search in Google Scholar
[
Singhal A., Jiebo Luo, Weiyu Zhu, Probabilistic Spatial Context Models for Scene Content Understanding, in 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, 2003.
]Search in Google Scholar
[
Szummer M., Picard R.W., Indoor-Outdoor Image Classification, in 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, pp. 45-51, 1998.
]Search in Google Scholar
[
Thorpe S.J., Fize D., Marlot C., Speed of Processing in the Human Visual System, Nature 381, 1996, 520.10.1038/381520a08632824
]Search in Google Scholar
[
van de Sande K., Gevers T., Snoek C., Evaluating Color Descriptors for Object and Scene Recognition, in IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1582-1596, 2010.10.1109/TPAMI.2009.154
]Search in Google Scholar
[
Vogel J., Schiele B., A Semantic Typicality Measure for Natural Scene Categorization, in Joint Pattern Recognition Symposium, pp. 195-203, 2004.10.1007/978-3-540-28649-3_24
]Search in Google Scholar
[
Wald J., Tateno K., Sturm J., Navab N., Tombari F., Real-Time Fully Incremental Scene Understanding on Mobile Platforms, IEEE Robotics Andautomation Letters, Vol. 3, 2018, 3402-3409.10.1109/LRA.2018.2852782
]Search in Google Scholar
[
Xiao J., Hays J., Ehinger K.A., Oliva A., Torralba A., Sun Database: Large Scale Scene Recognition from Abbey to Zoo, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, 3485-3492.10.1109/CVPR.2010.5539970
]Search in Google Scholar
[
Yang C., Liu H., Wang S., Liao S., Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding, in Sensors, pp. 392, 2016.10.3390/s16030392481396726999150
]Search in Google Scholar
[
Yao J., Fidler S., Urtasun R., Describing the Scene as a Whole: Joint Object Detection, Scene Classification and Semantic Segmentation, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 702-709, 2012.
]Search in Google Scholar
[
Yatskar M., Zettlemoyer L., Farhadi A., Situation Recognition: Visual Semantic Role Labeling for Image Understanding, IEEE Conference on Computer Vision and Pattern Recognition, 2016, 1-9.10.1109/CVPR.2016.597
]Search in Google Scholar
[
Zhou X., Gong W., Fu W., Du F., Application of Deep Learning in Object Detection, IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), 2017, 1-4.10.1109/ICIS.2017.7960069
]Search in Google Scholar
[
Zhou B., Lapedriza A., Khosla A., Oliva A., Torralba A., Places: A 10 Million Image Database for Scene Recognition, IEEE, 2017.10.1167/17.10.296
]Search in Google Scholar