Introduction Existing Methods Multimodal Methods sunset lardseape grass hdr b带ch sky b带atmosph带rw fly white Back feathers sun direct green field sky wide hoy包ram sky Animal Multi-Source Hashing Cross-Modal Hashing 口卡得三4元互Q0 Li (http://cs.nju.edu.cn/lvj) Learning to Hash CS.NJU 16 /50
Introduction Existing Methods Multimodal Methods Multi-Source Hashing Cross-Modal Hashing Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 16 / 50
Introduction Existing Methods Multi-Source Hashing o Aims at learning better codes by leveraging auxiliary views than unimodal hashing. o Assumes that all the views provided for a query,which are typically not feasible for many multimedia applications. Multiple Feature Hashing(Song et al.,2011) Composite Hashing (Zhang et al.,2011) 日卡三4元，互Q0 Li (http://cs.nju.edu.cn/lvj) Learning to Hash CS.NJU 17 /50
Introduction Existing Methods Multi-Source Hashing Aims at learning better codes by leveraging auxiliary views than unimodal hashing. Assumes that all the views provided for a query, which are typically not feasible for many multimedia applications. Multiple Feature Hashing (Song et al., 2011) Composite Hashing (Zhang et al., 2011) Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 17 / 50
Introduction Existing Methods Cross-Modal Hashing Given a query of either image or text,return images or texts similar to it. Cross View Hashing (CVH)(Kumar and Udupa,2011) Multimodal Latent Binary Embedding(MLBE)(Zhen and Yeung, 2012a) Co-Regularized Hashing (CRH)(Zhen and Yeung,2012b) Inter-Media Hashing(IMH)(Song et al.,2013) Relation-aware Heterogeneous Hashing(RaHH)(Ou et al.,2013) Semantic Correlation Maximization (SCM)(Zhang and Li,2014) 日卡三4元，互)Q0 Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS.NJU 18 /50
Introduction Existing Methods Cross-Modal Hashing Given a query of either image or text, return images or texts similar to it. Cross View Hashing (CVH) (Kumar and Udupa, 2011) Multimodal Latent Binary Embedding (MLBE) (Zhen and Yeung, 2012a) Co-Regularized Hashing (CRH) (Zhen and Yeung, 2012b) Inter-Media Hashing (IMH) (Song et al., 2013) Relation-aware Heterogeneous Hashing (RaHH) (Ou et al., 2013) Semantic Correlation Maximization (SCM) (Zhang and Li, 2014) Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 18 / 50
Introduction Existing Methods Our Contribution Unsupervised Hashing [NIPS 2012]: Isotropic hashing (IsoHash) Supervised Hashing [SIGIR 2014]: Supervised hashing with latent factor models Multimodal Hashing [AAAI 2014]: Large-scale supervised multimodal hashing with semantic correlation maximization Multiple-Bit Quantization: (1)Double-bit quantization (DBQ)[AAAI 2012]: (Kong and Li,2012a) (2)Manhattan quantization (MQ)[SIGIR 2012]: (Kong et al.,2012) 口卡+得二4元重)Q0￥ Li (http://cs.nju.edu.cn/lvj) Learning to Hash CS.NJU 19 /50
Introduction Existing Methods Our Contribution Unsupervised Hashing [NIPS 2012]: Isotropic hashing (IsoHash) Supervised Hashing [SIGIR 2014]: Supervised hashing with latent factor models Multimodal Hashing [AAAI 2014]: Large-scale supervised multimodal hashing with semantic correlation maximization Multiple-Bit Quantization: (1) Double-bit quantization (DBQ) [AAAI 2012]: (Kong and Li, 2012a) (2) Manhattan quantization (MQ) [SIGIR 2012]: (Kong et al., 2012) Li (http://cs.nju.edu.cn/lwj) Learning to Hash CS, NJU 19 / 50