Cross-Media Retrieval Method Based on Space Mapping

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Abstract:

This paper puts forward a novel cross-media retrieval approach, which can process multimedia data of different modalities and measure cross-media similarity, such as image-audio similarity. Both image and audio data are selected for experiments and comparisons. Given the same visual and auditory features the new approach outperforms ICA, PCA and PLS methods both in precision and recall performance. Overall cross-media retrieval results between images and audios are very encouraging.

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Advanced Materials Research (Volumes 756-759)

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1898-1902

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhang Hong-jiang, Zhong Di. Schema for visual feature-based image indexing. Proceeding of the SPIE, Storage and Retrieval for Image and Video Database, San Diego, USA, pp: 36-46, (1995).

DOI: 10.1117/12.205314

Google Scholar

[2] David R H, John S T. KCCA for different level precision in content-based image retrieval. Proceedings of the 3rd International Workshop on Content-Based Multimedia Indexing, Rennes, France, pp: 51-56, (2003).

Google Scholar

[3] Sonek C G M, Worring M, Geusebroek J M. Semantic video search engine. Proceedings of the TRECVID Workshop, Gaithersburg, USA, pp: 102-105, (2004).

Google Scholar

[4] Zhao Xue-Yan, Zhuang Yue-ting, Wu Fei. Audio clip retrieval with fast relevance feedback based on constrained fuzzy clustering and stored index table. Proceedings of the Pacific-Rim Conference on Multimedia, Taiwan, China, pp: 237-244, (2002).

DOI: 10.1007/3-540-36228-2_30

Google Scholar

[5] McGurk J M. Hearing lips and seeing voices. Nature, 264(5588), pp: 746-748, (1976).

DOI: 10.1038/264746a0

Google Scholar

[6] Hardoon D R. A correlation approach for automatic image annotation. Proceedings of the 2nd International Conference on Advanced Data Mining and Applications, Xi'an, China, pp: 681-692, (2006).

DOI: 10.1007/11811305_75

Google Scholar

[7] Wang Xin-Jing, Ma Wei-Ying, Xue Gui-Rong, Li Xing. Multi-model similarity propagation and its application for web image retrieval. Proceedings of the ACM Multimedia Conference, New York, USA, pp: 944-951 , (2008).

DOI: 10.1145/1027527.1027746

Google Scholar

[8] Ma Qiang, Akiyo Nadamoto, Katsumi Tanaka. Complementary information retrieval for cross-media news content. Proceedings of Information Systems, 31(7), pp: 659-678, (2006).

DOI: 10.1016/j.is.2005.12.004

Google Scholar

[9] Joliffe I T. Principal Component Analysis. New York, Springer-Verlag, pp: 74-81, (1986).

Google Scholar

[10] Hansen I. K, Larsen J, Kolenda T. On independent component analysis for multimedia signals. Guan L, kung S Y, Larsen J. Multimedia Image and Video Proceeding, London, CRC press, pp: 175-200, (2000).

DOI: 10.1201/9781420037562.ch7

Google Scholar

[11] Lu Wen-Cong, Chen Nian-Yi, Li Guo-Zheng, Yang Jie. Multitask learning using partial least square method. Proceedings of the 7th International Conference on Information Fusion, Stockholm, Sweden, pp: 79-84, (2009).

Google Scholar