메뉴 건너뛰기




Volumn , Issue , 2016, Pages 579-588

Composite correlation quantization for efficient multimodal retrieval

Author keywords

Correlation analysis; Hashing; Multimodal retrieval; Quantization

Indexed keywords

BINARY CODES; BINS; HASH FUNCTIONS; INFORMATION RETRIEVAL; SEARCH ENGINES;

EID: 84980332172     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2911451.2911493     Document Type: Conference Paper
Times cited : (174)

References (34)
  • 1
    • 34948842657 scopus 로고    scopus 로고
    • Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions
    • A. Andoni and P. Indyk. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In FOCS. IEEE, 2006.
    • (2006) FOCS. IEEE
    • Andoni, A.1    Indyk, P.2
  • 2
    • 84866710693 scopus 로고    scopus 로고
    • The inverted multi-index
    • IEEE
    • A. Babenko and V. Lempitsky. The inverted multi-index. In CVPR, pages 3069-3076. IEEE, 2012.
    • (2012) CVPR , pp. 3069-3076
    • Babenko, A.1    Lempitsky, V.2
  • 3
    • 84911413714 scopus 로고    scopus 로고
    • Additive quantization for extreme vector compression
    • A. Babenko and V. Lempitsky. Additive quantization for extreme vector compression. In CVPR. IEEE, 2014.
    • (2014) CVPR. IEEE
    • Babenko, A.1    Lempitsky, V.2
  • 4
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag. On the statistical analysis of dirty pictures. Journal of the Royal Statistical Society, 48(3):259-320, 1986.
    • (1986) Journal of the Royal Statistical Society , vol.48 , Issue.3 , pp. 259-320
    • Besag, J.1
  • 5
    • 84911369987 scopus 로고    scopus 로고
    • Data fusion through cross-modality metric learning using similarity-sensitive hashing
    • M. Bronstein, A. Bronstein, F. Michel, and N. Paragios. Data fusion through cross-modality metric learning using similarity-sensitive hashing. In CVPR. IEEE, 2010.
    • (2010) CVPR. IEEE
    • Bronstein, M.1    Bronstein, A.2    Michel, F.3    Paragios, N.4
  • 6
    • 72249085330 scopus 로고    scopus 로고
    • Nus-wide: A real-world web image database from national University of Singapore
    • T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. Nus-wide: A real-world web image database from national university of singapore. In CIVR. ACM, 2009.
    • (2009) CIVR. ACM
    • Chua, T.-S.1    Tang, J.2    Hong, R.3    Li, H.4    Luo, Z.5    Zheng, Y.-T.6
  • 8
    • 84949801196 scopus 로고    scopus 로고
    • Cross-modal retrieval with correspondence autoencoder
    • F. Feng, X. Wang, and R. Li. Cross-modal retrieval with correspondence autoencoder. In MM. ACM, 2014.
    • (2014) MM. ACM
    • Feng, F.1    Wang, X.2    Li, R.3
  • 9
    • 80052874105 scopus 로고    scopus 로고
    • Iterative quantization: A procrustean approach to learning binary codes
    • Y. Gong and S. Lazebnik. Iterative quantization: A procrustean approach to learning binary codes. In CVPR, 2011.
    • (2011) CVPR
    • Gong, Y.1    Lazebnik, S.2
  • 10
    • 84980342097 scopus 로고    scopus 로고
    • Iterative multi-view hashing for cross media indexing
    • Y. Hu, Z. Jin, H. Ren, D. Cai, and X. He. Iterative multi-view hashing for cross media indexing. In MM. ACM, 2014.
    • (2014) MM. ACM
    • Hu, Y.1    Jin, Z.2    Ren, H.3    Cai, D.4    He, X.5
  • 11
    • 70449621223 scopus 로고    scopus 로고
    • The MIR flickr retrieval evaluation
    • M. J. Huiskes and M. S. Lew. The mir flickr retrieval evaluation. In ICMR. ACM, 2008.
    • (2008) ICMR. ACM
    • Huiskes, M.J.1    Lew, M.S.2
  • 12
    • 78649317568 scopus 로고    scopus 로고
    • Product quantization for nearest neighbor search
    • Jan
    • H. Jegou, M. Douze, and C. Schmid. Product quantization for nearest neighbor search. TPAMI, 33(1):117-128, Jan 2011.
    • (2011) TPAMI , vol.33 , Issue.1 , pp. 117-128
    • Jegou, H.1    Douze, M.2    Schmid, C.3
  • 13
    • 84866034209 scopus 로고    scopus 로고
    • Learning hash functions for cross-view similarity search
    • S. Kumar and R. Udupa. Learning hash functions for cross-view similarity search. In IJCAI, 2011.
    • (2011) IJCAI
    • Kumar, S.1    Udupa, R.2
  • 14
    • 84959209380 scopus 로고    scopus 로고
    • Semantics-preserving hashing for cross-view retrieval
    • Z. Lin, G. Ding, M. Hu, and J. Wang. Semantics-preserving hashing for cross-view retrieval. In CVPR, 2015.
    • (2015) CVPR
    • Lin, Z.1    Ding, G.2    Hu, M.3    Wang, J.4
  • 15
    • 84883119531 scopus 로고    scopus 로고
    • A low rank structural large margin method for cross-modal ranking
    • X. Lu, F. Wu, S. Tang, Z. Zhang, X. He, and Y. Zhuang. A low rank structural large margin method for cross-modal ranking. In SIGIR. ACM, 2013.
    • (2013) SIGIR. ACM
    • Lu, X.1    Wu, F.2    Tang, S.3    Zhang, Z.4    He, X.5    Zhuang, Y.6
  • 16
    • 84973864182 scopus 로고    scopus 로고
    • Multimodal convolutional neural networks for matching image and sentence
    • L. Ma, Z. Lu, L. Shang, and H. Li. Multimodal convolutional neural networks for matching image and sentence. In ICCV, 2015.
    • (2015) ICCV
    • Ma, L.1    Lu, Z.2    Shang, L.3    Li, H.4
  • 19
    • 0000988974 scopus 로고
    • A generalized solution of the orthogonal procrustes problem
    • P. H. Schönemann. A generalized solution of the orthogonal procrustes problem. Psychometrika, 31(1):1-10, 1966.
    • (1966) Psychometrika , vol.31 , Issue.1 , pp. 1-10
    • Schönemann, P.H.1
  • 20
    • 84980323542 scopus 로고    scopus 로고
    • Inter-media hashing for large-scale retrieval from heterogeneous data sources
    • J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen. Inter-media hashing for large-scale retrieval from heterogeneous data sources. In SIGMOD. ACM, 2013.
    • (2013) SIGMOD. ACM
    • Song, J.1    Yang, Y.2    Yang, Y.3    Huang, Z.4    Shen, H.T.5
  • 21
    • 84916911784 scopus 로고    scopus 로고
    • Multimodal learning with deep boltzmann Machines
    • N. Srivastava and R. Salakhutdinov. Multimodal learning with deep boltzmann machines. JMLR, 15:2949-2980, 2014.
    • (2014) JMLR , vol.15 , pp. 2949-2980
    • Srivastava, N.1    Salakhutdinov, R.2
  • 22
    • 84937245087 scopus 로고    scopus 로고
    • Hashing for similarity search: A survey
    • J. Wang, H. T. Shen, J. Song, and J. Ji. Hashing for similarity search: A survey. Arxiv, 2014.
    • (2014) Arxiv
    • Wang, J.1    Shen, H.T.2    Song, J.3    Ji, J.4
  • 23
    • 84949815749 scopus 로고    scopus 로고
    • Learning to hash on partial multi-modal data
    • Q. Wang, L. Si, and B. Shen. Learning to hash on partial multi-modal data. In IJCAI, pages 3904-3910, 2015.
    • (2015) IJCAI , pp. 3904-3910
    • Wang, Q.1    Si, L.2    Shen, B.3
  • 24
    • 84980342135 scopus 로고    scopus 로고
    • Effective multi-modal retrieval based on stacked auto-encoders
    • W. Wang, B. C. Ooi, X. Yang, D. Zhang, and Y. Zhuang. Effective multi-modal retrieval based on stacked auto-encoders. In VLDB. ACM, 2014.
    • (2014) VLDB. ACM
    • Wang, W.1    Ooi, B.C.2    Yang, X.3    Zhang, D.4    Zhuang, Y.5
  • 26
    • 84949772223 scopus 로고    scopus 로고
    • Quantized correlation hashing for fast cross-modal search
    • B. Wu, Q. Yang, W.-S. Zheng, Y. Wang, and J. Wang. Quantized correlation hashing for fast cross-modal search. In IJCAI, 2015.
    • (2015) IJCAI
    • Wu, B.1    Yang, Q.2    Zheng, W.-S.3    Wang, Y.4    Wang, J.5
  • 27
    • 84904546082 scopus 로고    scopus 로고
    • Discriminative coupled dictionary hashing for fast cross-media retrieval
    • Z. Yu, F. Wu, Y. Yang, Q. Tian, J. Luo, and Y. Zhuang. Discriminative coupled dictionary hashing for fast cross-media retrieval. In SIGIR. ACM, 2014.
    • (2014) SIGIR. ACM
    • Yu, Z.1    Wu, F.2    Yang, Y.3    Tian, Q.4    Luo, J.5    Zhuang, Y.6
  • 28
    • 84949831261 scopus 로고    scopus 로고
    • Large-scale supervised multimodal hashing with semantic correlation maximization
    • D. Zhang and W.-J. Li. Large-scale supervised multimodal hashing with semantic correlation maximization. In AAAI, 2014.
    • (2014) AAAI
    • Zhang, D.1    Li, W.-J.2
  • 29
    • 80052110460 scopus 로고    scopus 로고
    • Composite hashing with multiple information sources
    • D. Zhang, F. Wang, and L. Si. Composite hashing with multiple information sources. In SIGIR. ACM, 2011.
    • (2011) SIGIR. ACM
    • Zhang, D.1    Wang, F.2    Si, L.3
  • 30
    • 84973906749 scopus 로고    scopus 로고
    • Composite quantization for approximate nearest neighbor search
    • T. Zhang, C. Du, and J. Wang. Composite quantization for approximate nearest neighbor search. In ICML. ACM, 2014.
    • (2014) ICML. ACM
    • Zhang, T.1    Du, C.2    Wang, J.3
  • 31
    • 84959240114 scopus 로고    scopus 로고
    • Deep semantic ranking based hashing for multi-label image retrieval
    • F. Zhao, Y. Huang, L. Wang, and T. Tan. Deep semantic ranking based hashing for multi-label image retrieval. In CVPR, 2015.
    • (2015) CVPR
    • Zhao, F.1    Huang, Y.2    Wang, L.3    Tan, T.4
  • 32
    • 84877748479 scopus 로고    scopus 로고
    • Co-regularized hashing for multimodal data
    • Y. Zhen and D.-Y. Yeung. Co-regularized hashing for multimodal data. In NIPS, 2012.
    • (2012) NIPS
    • Zhen, Y.1    Yeung, D.-Y.2
  • 33
    • 84980348475 scopus 로고    scopus 로고
    • A probabilistic model for multimodal hash function learning
    • Y. Zhen and D.-Y. Yeung. A probabilistic model for multimodal hash function learning. In SIGKDD. ACM, 2012.
    • (2012) SIGKDD. ACM
    • Zhen, Y.1    Yeung, D.-Y.2
  • 34
    • 84980331946 scopus 로고    scopus 로고
    • Linear cross-modal hashing for efficient multimedia search
    • X. Zhu, Z. Huang, H. T. Shen, and X. Zhao. Linear cross-modal hashing for efficient multimedia search. In MM. ACM, 2013.
    • (2013) MM. ACM
    • Zhu, X.1    Huang, Z.2    Shen, H.T.3    Zhao, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.