Abstract
Automatic image captioning is the process of providing natural language captions for images automatically. Considering the huge number of images available in recent time, automatic image captioning is very beneficial in managing huge image datasets by providing appropriate captions. It also finds application in content based image retrieval. This field includes other image processing areas such as segmentation, feature extraction, template matching and image classification. It also includes the field of natural language processing. Scene analysis is a prominent step in automatic image captioning which is garnering the attention of many researchers. The better the scene analysis the better is the image understanding which further leads to generate better image captions. The survey presents various techniques used by researchers for scene analysis performed on different image datasets.
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References
Sumathi, T., Hemalatha, M.: A combined hierarchical model for automatic image annotation and retrieval. In: International Conference on Advanced Computing (2011)
Yu, M.T., Sein, M.M.: Automatic image captioning system using integration of N-cut and color-based segmentation method. In: Society of Instrument and Control Engineers Annual Conference (2011)
Ushiku, Y., Harada, T., Kuniyoshi, Y.: Automatic sentence generation from images. In: ACM Multimedia (2011)
Federico, M., Furini, M.: Enhancing learning accessibility through fully automatic captioning. In: International Cross-Disciplinary Conference on Web Accessibility (2011)
Feng, Y., Lapata, M.: Automatic caption generation for news images. IEEE Trans. Pattern Anal. Mach. Intell. 35(4), 797–811 (2013)
Xi, S.M., Im Cho, Y.: Image caption automatic generation method based on weighted feature. In: International Conference on Control, Automation and Systems (2013)
Horiuchi, S., Moriguchi, H., Shengbo, X., Honiden, S.: Automatic image description by using word-level features. In: International Conference on Internet Multimedia Computing and Service (2013)
Ramnath, K., Vanderwende, L., El-Saban, M., Sinha, S.N., Kannan, A., Hassan, N., Galley, M.: AutoCaption: automatic caption generation for personal photos. In: IEEE Winter Conference on Applications of Computer Vision (2014)
Sivakrishna Reddy, A., Monolisa, N., Nathiya, M., Anjugam, D.: A combined hierarchical model for automatic image annotation and retrieval. In: International Conference on Innovations in Information Embedded and Communication Systems (2015)
Shivdikar, K., Kak, A., Marwah, K.: Automatic image annotation using a hybrid engine. In: IEEE India Conference (2015)
Mathews, A.: Captioning images using different styles. In: ACM Multimedia Conference (2015)
Mathews, A., Xie, L., He, X.: Choosing basic-level concept names using visual and language context. In: IEEE Winter Conference on Applications of Computer Vision (2015)
Plummer, B.A., Wang, L., Cervantes, C.M., Caicedo, J.C., Hockenmaier, J., Lazebnik, S.: Flickr30k entities: collecting region-to-phrase correspondences for richer image-to-sentence models. In: International Conference on Computer Vision (2015)
Vijay, K., Ramya, D.: Generation of caption selection for news images using stemming algorithm. In: International Conference on Computation of Power, Energy, Information and Communication (2015)
Shahaf, D., Horvitz, E., Mankoff, R.: Inside jokes: identifying humorous cartoon captions. In: International Conference on Knowledge Discovery and Data Mining (2015)
Li, X., Lan, W., Dong, J., Liu, H.: Adding Chinese captions to images. In: International Conference in Multimedia Retrieval (2016)
Jin, J., Nakayama, H.: Annotation order matters: recurrent image annotator for arbitrary length image tagging. In: International Conference on Pattern Recognition (2016)
Shi, Z., Zou, Z.: Can a machine generate humanlike language descriptions for a remote sensing image? IEEE Trans. Geosci. Remote Sens. 55(6), 3623–3634 (2016)
Shetty, R., Tavakoli, H.R., Laaksonen, J.: Exploiting scene context for image captioning. In: Vision and Language Integration Meets Multimedia Fusion (2016)
Li, X., Song, X., Herranz, L., Zhu, Y., Jiang, S.: Image captioning with both object and scene information. In: ACM Multimedia (2016)
Wang, C., Yang, H., Bartz, C., Meinel, C.: Image captioning with deep bidirectional LSTMs. In: ACM Multimedia (2016)
Liu, C., Wang, C., Sun, F., Rui, Y.: Image2Text: a multimodal caption generator. In: ACM Multimedia (2016)
Blandfort, P., Karayil, T., Borth, D., Dengel, A.: Introducing concept and syntax transition networks for image captioning. In: International Conference on Multimedia Retrieval (2016)
Tariq, A., Foroosh, H.: A context-driven extractive framework for generating realistic image descriptions. IEEE Trans. Image Process. 26(2), 619–631 (2017)
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Srivastava, G., Srivastava, R. (2018). A Survey on Automatic Image Captioning. In: Ghosh, D., Giri, D., Mohapatra, R., Savas, E., Sakurai, K., Singh, L. (eds) Mathematics and Computing. ICMC 2018. Communications in Computer and Information Science, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-0023-3_8
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DOI: https://doi.org/10.1007/978-981-13-0023-3_8
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