Algorithms for clustering data
Algorithms for clustering data
Data structures and algorithms with object-oriented design patterns in C++
Data structures and algorithms with object-oriented design patterns in C++
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
ACM Computing Surveys (CSUR)
Learning and Design of Principal Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Organizing Maps
CLARANS: A Method for Clustering Objects for Spatial Data Mining
IEEE Transactions on Knowledge and Data Engineering
Non-linear dimensionality reduction techniques for classification and visualization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Image Spaces and Video Trajectories: Using Isomap to Explore Video Sequences
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A spatio-temporal extension to Isomap nonlinear dimension reduction
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Subspace Selection for Clustering High-Dimensional Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Isomap Based on the Image Euclidean Distance
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Video summarization at Brno University of Technology
Proceedings of the international workshop on TRECVID video summarization
Clever clustering vs. simple speed-up for summarizing rushes
Proceedings of the international workshop on TRECVID video summarization
Rushes video summarization by object and event understanding
Proceedings of the international workshop on TRECVID video summarization
A user-centered approach to rushes summarisation via highlight-detected keyframes
Proceedings of the international workshop on TRECVID video summarization
Video summarization preserving dynamic content
Proceedings of the international workshop on TRECVID video summarization
Rushes summarization with self-organizing maps
Proceedings of the international workshop on TRECVID video summarization
The Hong Kong Polytechnic University at TRECVID 2007 BBC rushes summarization
Proceedings of the international workshop on TRECVID video summarization
Split-screen dynamically accelerated video summaries
Proceedings of the international workshop on TRECVID video summarization
Skimming rushes video using retake detection
Proceedings of the international workshop on TRECVID video summarization
Video rushes summarization by adaptive acceleration and stacking of shots
Proceedings of the international workshop on TRECVID video summarization
National institute of informatics, japan at TRECVID 2007: BBC rushes summarization
Proceedings of the international workshop on TRECVID video summarization
NTU TRECVID-2007 fast rushes summarization system
Proceedings of the international workshop on TRECVID video summarization
THU-ICRC at rush summarization of TRECVID 2007
Proceedings of the international workshop on TRECVID video summarization
On-line video skimming based on histogram similarity
Proceedings of the international workshop on TRECVID video summarization
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Averaged Divergence Analysis
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Supervised nonlinear dimensionality reduction for visualization and classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Content analysis of video using principal components
IEEE Transactions on Circuits and Systems for Video Technology
Expert Systems: The Journal of Knowledge Engineering
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Rushes editing enables the computer to edit the film like a professional film cutter based on the raw footage. The most important issue in rushes editing is the generation of the effective, efficient, and robust descriptors for footage content analysis. Dimensionality reduction technology provides the means to generate such descriptors by seeking a low-dimensional equivalence of the high-dimensional video data using intelligent algorithms. However, existing dimensionality reduction techniques are not directly applicable to the editing of rushes because of the heterogeneity of rushes data. To deal with this heterogeneity, this paper proposes a novel non-linear dimensionality reduction algorithm called multi-layer isometric feature mapping (ML-Isomap). First, a clustering algorithm is utilized to partition the high-dimensional data points into a set of data blocks in the high-dimensional feature space. Second, intra-cluster graphs are constructed based on the individual character of each data block to build the basic layer for the ML-Isomap. Third, the inter-cluster graph is constructed by analyzing the interrelation among these isolated data blocks to build the hyper-layers for the ML-Isomap. Finally, all the data points are mapped into the unique low-dimensional feature space by maintaining to the greatest extent the corresponding relations of the multiple layers in the high-dimensional feature space. Comparative experiments on synthetic data as well as real rushes editing tasks demonstrate that the proposed algorithm can reduce the dimensions of various datasets efficiently while preserving both the global structure and the local details of the heterogeneous dataset.