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Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources

Summary: Proposes Inter-Media Hashing (IMH) for large-scale cross-modal retrieval across heterogeneous data sources. Maps multimodal data to a common Hamming space for fast search (XOR/bit-count) and learns hashing functions via linear regression for efficient online encoding. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4683
Venue
SIGMOD
Year
2013
Pagerank
7.0258619e-05
Overall Rank
3,510 | 75.59%
DOI
-

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