Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Similarity Search in High Dimensions via Hashing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Spectral Grouping Using the Nyström Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locality-sensitive hashing scheme based on p-stable distributions
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
Locality preserving indexing for document representation
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
Neural Computation
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Introduction to Information Retrieval
Introduction to Information Retrieval
Hypergraph spectral learning for multi-label classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Approximate Reasoning
Combining audio content and social context for semantic music discovery
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Self-taught hashing for fast similarity search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Image tag refinement towards low-rank, content-tag prior and error sparsity
Proceedings of the international conference on Multimedia
Hypergraph spectral hashing for similarity search of social image
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tag Clustering and Refinement on Semantic Unity Graph
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations
IEEE Transactions on Multimedia
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The development of social media brings great challenges to image retrieval on both efficiency and accuracy. In addition to achieving fast similarity search over large scale data, it is very crucial to represent the complex and high-order relationships among the social contents to improve the semantic understanding of social images. In this paper, unified hypergraph is implemented to model the various relationships among images and other contexts in social media. Then we extend traditional spectral hashing to hypergraph to accelerate similarity search of social images by mapping semantically related vertices into similar binary codes within a short Hamming distance. In addition, out-of-sample extension is implemented in a supervised manner and different strategies of fusing different social contexts are compared and discussed in this work. We evaluated our approach on the dataset crawled from Flickr and the experiment results indicate that our proposed HSH approach is both efficient and effective.