A survey of semantic multimedia retrieval systems
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Classifier-specific intermediate representation for multimedia tasks
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Knowledge adaptation for ad hoc multimedia event detection with few exemplars
Proceedings of the 20th ACM international conference on Multimedia
Low rank metric learning for social image retrieval
Proceedings of the 20th ACM international conference on Multimedia
Information Sciences: an International Journal
Semi-supervised Mesh Segmentation and Labeling
Computer Graphics Forum
Cross-Media semantics mining based on sparse canonical correlation analysis and relevance feedback
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Content-based retrieval of human actions from realistic video databases
Information Sciences: an International Journal
Image classification with manifold learning for out-of-sample data
Signal Processing
Least square regularized spectral hashing for similarity search
Signal Processing
Discriminative codebook learning for Web image search
Signal Processing
Multi-view hypergraph learning by patch alignment framework
Neurocomputing
Advertising object in web videos
Neurocomputing
A framework for key-frame selection based on relevance feedback
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Recognizing architecture styles by hierarchical sparse coding of blocklets
Information Sciences: an International Journal
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Large-scale Structure-from-Motion Reconstruction with small memory consumption
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Thinking of images as what they are: compound matrix regression for image classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Automatic extraction of relevant video shots of specific actions exploiting Web data
Computer Vision and Image Understanding
Social-oriented visual image search
Computer Vision and Image Understanding
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization
Engineering Applications of Artificial Intelligence
A scalable re-ranking method for content-based image retrieval
Information Sciences: an International Journal
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We present a new framework for multimedia content analysis and retrieval which consists of two independent algorithms. First, we propose a new semi-supervised algorithm called ranking with Local Regression and Global Alignment (LRGA) to learn a robust Laplacian matrix for data ranking. In LRGA, for each data point, a local linear regression model is used to predict the ranking scores of its neighboring points. A unified objective function is then proposed to globally align the local models from all the data points so that an optimal ranking score can be assigned to each data point. Second, we propose a semi-supervised long-term Relevance Feedback (RF) algorithm to refine the multimedia data representation. The proposed long-term RF algorithm utilizes both the multimedia data distribution in multimedia feature space and the history RF information provided by users. A trace ratio optimization problem is then formulated and solved by an efficient algorithm. The algorithms have been applied to several content-based multimedia retrieval applications, including cross-media retrieval, image retrieval, and 3D motion/pose data retrieval. Comprehensive experiments on four data sets have demonstrated its advantages in precision, robustness, scalability, and computational efficiency.