Abstract
Today multimedia content comprising both text and images is growing at a rapid pace. There has been a body of work to summarize text content, but to the best of our knowledge, no method has been developed to summarize multimedia content. We propose two methods for summarizing multimedia content. Our novel approach explicitly recognizes two desirable, normative characteristics of a summary - good coverage and diversity of the respective text and images, and that text and images should be coherent with each other. Two methods are examined - graph based and a modification to the submodular approach. Moreover, we propose a metric to measure the quality of a multimedia summary which captures coverage and diversity of text and images as well as coherence between the text and images in the summary. We experimentally demonstrate that the proposed methods achieve good quality multimedia summaries.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
dAcierno, A., Gargiulo, F., Moscato, V., Penta, A., Persia, F., Picariello, A., Sansone, C., Sperl, G.: A multimedia summarizer integrating text and images. In: Intelligent Interactive Multimedia Systems and Services, pp. 21–33. Smart Innovation, Systems and Technologies (2014)
Ding, D., Metze, F., Rawat, S., Schulam, P.F., Burger, S.: Generating natural language summaries for multimedia. In: Proceedings of the Seventh International Natural Language Generation Conference, pp. 128–130. Association for Computational Linguistics (2012)
Ding, D., Metze, F., Rawat, S., Schulam, P.F., Burger, S., Younessian, E., Bao, L., Christel, M.G., Hauptmann, A.: Beyond audio and video retrieval: towards multimedia summarization. In: Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, p. 2. ACM (2012)
Farhadi, A., Hejrati, M., Sadeghi, M.A., Young, P., Rashtchian, C., Hockenmaier, J., Forsyth, D.: Every picture tells a story: generating sentences from images. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 15–29. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15561-1_2
Kageback, M., Mogren, O., Tahmasebi, N., Dubhashi, D.: Extractive summarization using continuous vector space models. In: Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC), pp. 31–39. EACL (2014)
Karpathy, A., Joulin, A., Fei-Fei, L.: Deep fragment embeddings for bidirectional image sentence mapping. Archive, Cornell University Library (2014). http://arxiv.org/abs/1406.5679
Krähenbühl, P., Koltun, V.: Geodesic object proposals. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 725–739. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10602-1_47
Kulkarni, G., Premraj, V., Dhar, S., Li, S., Choi, Y., Berg, A.C., Berg, T.L.: Baby talk: understanding and generating simple image descriptions. In: CVPR (2011)
Lin, H., Bilmes, J.: A class of submodular functions for document summarization. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, HLT 2011, Stroudsburg, PA, USA, vol. 1, pp. 510–520 (2011)
Luhn, H.: The automatic creation of literature abstracts. IBM J. Res. Dev. 2(2), 159–165 (1958)
Mihalcea, R.: Language independent extractive summarization. In: ACLdemo, pp. 49–52 (2005)
Mitchell, M., Han, X., Dodge, J., Mensch, A., Goyal, A., Berg, A., Yamaguchi, K., Berg, T., Stratos, K., Hal Daum, I.: Midge: generating image descriptions from computer vision detections. In: EACL (2012)
Modani, N., Khabiri, E., Srinivasan, H., Caverlee, J.: Graph based modeling for product review summarization. In: WISE (2015)
Nenkova, A., McKeown, K.: A survey of text summarization techniques. In: Aggarwal, C.C., Zhai, C.X. (eds.) Mining Text Data, pp. 43–76. Springer, New York (2012)
Ordonez, V., Kulkarni, G., Berg, T.L.: Im2text: describing images using 1 million captioned photographs. In: NIPS (2011)
Socher, R., Fei-Fei, L.: Connecting modalities: semi-supervised segmentation and annotation of images using unaligned text corpora. In: CVPR (2010)
Wu, J., Xu, B., Li, S.: An unsupervised approach to rank product reviews. In: FSKD, pp. 1769–1772 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Modani, N. et al. (2016). Summarizing Multimedia Content. In: Cellary, W., Mokbel, M., Wang, J., Wang, H., Zhou, R., Zhang, Y. (eds) Web Information Systems Engineering – WISE 2016. WISE 2016. Lecture Notes in Computer Science(), vol 10042. Springer, Cham. https://doi.org/10.1007/978-3-319-48743-4_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-48743-4_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48742-7
Online ISBN: 978-3-319-48743-4
eBook Packages: Computer ScienceComputer Science (R0)