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John R. Kender
2010 – today
- 2012
[c73]John R. Zhang, Jennifer Ren, Fangzhe Chang, Thomas L. Wood, John R. Kender: Fast Near-Duplicate Video Retrieval via Motion Time Series Matching. ICME 2012: 842-847
[i7]Lexing Xie, Apostol Natsev, Xuming He, John R. Kender, Matthew L. Hill, John R. Smith: Tracking Large-Scale Video Remix in Real-World Events. CoRR abs/1210.0623 (2012)- 2011
[c72]
[c71]Lexing Xie, Apostol Natsev, John R. Kender, Matthew L. Hill, John R. Smith: Tracking Visual Memes in Rich-Media Social Communities. ICWSM 2011
[c70]Lexing Xie, Apostol Natsev, John R. Kender, Matthew L. Hill, John R. Smith: Visual memes in social media: tracking real-world news in YouTube videos. ACM Multimedia 2011: 53-62
[c69]Mitchell J. Morris, John R. Kender: VastMM-Tag: a semantic tagging browser for unstructured videos. ACM Multimedia 2011: 957-960
[c68]Michele Merler, John R. Kender: Selecting the best faces to index presentation videos. ACM Multimedia 2011: 1461-1464- 2010
[j15]Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen: Hierarchical document clustering using local patterns. Data Min. Knowl. Discov. 21(1): 153-185 (2010)
[c67]John R. Kender, Matthew L. Hill, Apostol Natsev, John R. Smith, Lexing Xie: Video genetics: a case study from YouTube. ACM Multimedia 2010: 1253-1258
2000 – 2009
- 2009
[c66]Michele Merler, John R. Kender: Semantic keyword extraction via adaptive text binarization of unstructured unsourced video. ICIP 2009: 261-264
[c65]Mitchell J. Morris, John R. Kender: Sort-Merge feature selection and fusion methods for classification of unstructured video. ICME 2009: 578-581
[c64]Jesus Caban, Noah Lee, Shahram Ebadollahi, Andrew Laine, John R. Kender: Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues. ISBI 2009: 418-421- 2008
[j14]Ramon Lluis Felip, Lluis Barceló, Xavier Binefa, John R. Kender: Robust Dominant Motion Estimation Using MPEG Information in Sport Sequences. IEEE Trans. Circuits Syst. Video Techn. 18(1): 12-22 (2008)
[c63]Hassan H. Malik, John R. Kender: Classifying High-Dimensional Text and Web Data Using Very Short Patterns. ICDM 2008: 923-928
[c62]John R. Kender: Separability and refinement of hierarchical semantic video labels and their ground truth. ICME 2008: 673-676
[c61]Alexander Haubold, John R. Kender: Accommodating sample size effect on similarity measures in speaker clustering. ICME 2008: 1525-1528
[c60]Alexander Haubold, Promiti Dutta, John R. Kender: Evaluation of video browser features and user interaction with VAST MM. ACM Multimedia 2008: 449-458- 2007
[j13]Dan B. Phung, Giuseppe Valetto, Gail E. Kaiser, Tiecheng Liu, John R. Kender: Adaptive Synchronization of Semantically Compressed Instructional Videos for Collaborative Distance Learning. IJDET 5(2): 56-73 (2007)
[j12]Tiecheng Liu, John R. Kender: Computational approaches to temporal sampling of video sequences. TOMCCAP 3(2) (2007)
[c59]Alexander Haubold, John R. Kender: VAST MM: multimedia browser for presentation video. CIVR 2007: 41-48
[c58]Hassan H. Malik, John R. Kender: Optimizing Frequency Queries for Data Mining Applications. ICDM 2007: 595-600
[c57]Alexander Haubold, John R. Kender: Alignment of Speech to Highly Imperfect Text Transcriptions. ICME 2007: 224-227
[c56]John R. Kender: A Large Scale Concept Ontology for News Stories: Empirical Methods, Analysis, and Improvements. ICME 2007: 544-547
[c55]Alexander Haubold, John R. Kender: Analysis, User Interface, and their Evaluation for Student Presentation Videos. ICME 2007: 863-866
[c54]Yan Liu, John R. Kender: Statistical Validation for Automatic Feature Selection Algorithms in Video Applications. MLMTA 2007: 170-176- 2006
[c53]Hassan H. Malik, John R. Kender: High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets. ICDM 2006: 991-996
[c52]John R. Kender, Milind R. Naphade: Video News Shot Labeling Refinement via Shot Rhythm Models. ICME 2006: 37-40
[c51]Hassan H. Malik, John R. Kender: Clustering web images using association rules, interestingness measures, and hypergraph partitions. ICWE 2006: 48-55
[c50]Lijun Tang, John R. Kender: Designing an intelligent user interface for instructional video indexing and browsing. IUI 2006: 318-320
[i6]Alexander Haubold, John R. Kender: Accommodating Sample Size Effect on Similarity Measures in Speaker Clustering. CoRR abs/cs/0612138 (2006)
[i5]Alexander Haubold, John R. Kender: Alignment of Speech to Highly Imperfect Text Transcriptions. CoRR abs/cs/0612139 (2006)- 2005
[c49]Lluis Barceló, Xavier Binefa, John R. Kender: Robust Methods and Representations for Soccer Player Tracking and Collision Resolution. CIVR 2005: 237-246
[c48]John R. Kender, Milind R. Naphade: Visual Concepts for News Story Tracking: Analyzing and Exploiting the NIST TRECVID Video Annotation Experiment. CVPR (1) 2005: 1174-1181
[c47]Lijun Tang, John R. Kender: Educational Video Understanding: Mapping Handwritten Text to Textbook Chapters. ICDAR 2005: 919-923
[c46]Lijun Tang, John R. Kender: A unified text extraction method for instructional videos. ICIP (3) 2005: 1216-1219
[c45]Lijun Tang, John R. Kender: Semantic Indexing for Instructional Video Via Combination of Handwriting Recognition and Information Retrieval. ICME 2005: 920-923
[c44]Lalitha Agnihotri, John R. Kender, Nevenka Dimitrova, John Zimmerman: User Study for Generating Personalized Summary Profiles. ICME 2005: 1094-1097
[c43]
[c42]Lalitha Agnihotri, John R. Kender, Nevenka Dimitrova, John Zimmerman: Framework for personalized multimedia summarization. Multimedia Information Retrieval 2005: 81-88
[c41]Alexander Haubold, John R. Kender: Augmented segmentation and visualization for presentation videos. ACM Multimedia 2005: 51-60
[i4]Alexander Haubold, John R. Kender: Augmented Segmentation and Visualization for Presentation Videos. CoRR abs/cs/0501044 (2005)- 2004
[j11]Aya Aner-Wolf, John R. Kender: Video summaries and cross-referencing through mosaic-based representation. Computer Vision and Image Understanding 95(2): 201-237 (2004)
[c40]Lalitha Agnihotri, Nevenka Dimitrova, John R. Kender: Design and evaluation of a music video summarization system. ICME 2004: 1943-1946
[c39]Lijun Tang, John R. Kender: A method and user interface for instructional video indexing via recognition of handwritten table-of-contents words. ICME 2004: 1983-1986
[c38]
[i3]Alexander Haubold, John R. Kender: Analysis and Visualization of Index Words from Audio Transcripts of Instructional Videos. CoRR cs.IR/0408063 (2004)- 2003
[j10]Yan Liu, John R. Kender: Fast video segment retrieval by Sort-Merge feature selection, boundary refinement, and lazy evaluation. Computer Vision and Image Understanding 92(2-3): 147-175 (2003)
[c37]Juan María Sánchez, Xavier Binefa, John R. Kender: Multiple Features in Temporal Models for the Representation of Visual Contents in Video. CIVR 2003: 216-226
[c36]Tiecheng Liu, John R. Kender: Spatial-Temporal Semantic Grouping of Instructional Video Content. CIVR 2003: 362-372
[c35]
[c34]Tiecheng Liu, John R. Kender: Semantic mosaic for indexing and compressing instructional videos. ICIP (1) 2003: 921-924
[c33]
[c32]Alexander Haubold, John R. Kender: Analysis and interface for instructional video. ICME 2003: 705-708
[c31]Lalitha Agnihotri, Nevenka Dimitrova, John R. Kender, John Zimmerman: Study on requirement specifications for personalized multimedia summarization. ICME 2003: 757-760
[c30]Lalitha Agnihotri, Nevenka Dimitrova, John R. Kender, John Zimmerman: Music videos miner. ACM Multimedia 2003: 442-443
[c29]
[i2]Alexander Haubold, John R. Kender: Segmentation, Indexing, and Visualization of Extended Instructional Videos. CoRR cs.IR/0302023 (2003)
[i1]Alexander Haubold, John R. Kender: Analysis and Interface for Instructional Video. CoRR cs.IR/0302024 (2003)- 2002
[c28]Aya Aner, John R. Kender: Video Summaries through Mosaic-Based Shot and Scene Clustering. ECCV (4) 2002: 388-402
[c27]Tiecheng Liu, John R. Kender: Optimization Algorithms for the Selection of Key Frame Sequences of Variable Length. ECCV (4) 2002: 403-417
[c26]Tiecheng Liu, John R. Kender: Rule-based semantic summarization of instructional videos. ICIP (1) 2002: 601-604
[c25]Tiecheng Liu, Rune Hjelsvold, John R. Kender: Analysis and enhancement of videos of electronic slide presentations. ICME (1) 2002: 77-80
[c24]Aya Aner, Lijun Tang, John R. Kender: A method and browser for cross-referenced video summaries. ICME (2) 2002: 237-240
[c23]Tiecheng Liu, John R. Kender: An efficient error-minimizing algorithm for variable-rate temporal video sampling. ICME (1) 2002: 413-416
[c22]Juan María Sánchez, Xavier Binefa, John R. Kender: Multiple feature temporal models for object detection in video. ICME (1) 2002: 433-436
[c21]Juan María Sánchez, Xavier Binefa, John R. Kender: Coupled Markov Chains for Video Contents Characterization. ICPR (2) 2002: 461-464- 2001
[j9]John R. Kender: Visual Interfaces to Computers: A Systems-Oriented First Course in Reliable Control via Imagery ("Visual Interfaces"). IJPRAI 15(5): 869-884 (2001)
[j8]Samuel D. Fenster, John R. Kender: Sectored Snakes: Evaluating Learned-Energy Segmentations. IEEE Trans. Pattern Anal. Mach. Intell. 23(9): 1028-1034 (2001)
[c20]Tiecheng Liu, John R. Kender: Time-constrained Dynamic Semantic Compression for Video Indexing and Interactive Searching. CVPR (2) 2001: 531-538
[c19]Aya Aner, John R. Kender: A unified memory based approach to cut, dissolve, key frame and scene analysis. ICIP (3) 2001: 370-373- 2000
[c18]Samuel D. Fenster, John R. Kender: A Comparative Technique and Performance Results on Novel Learned Snakes in Two Dissimilar Medical Domains. CVPR 2000: 2706-2713
1990 – 1999
- 1998
[c17]John R. Kender, Boon-Lock Yeo: Video Scene Segmentation via Continuous Video Coherence. CVPR 1998: 367-373
[c16]Samuel D. Fenster, John R. Kender: Sectored Snakes: Evaluating Learned-Energy Segmentations. ICCV 1998: 420-426- 1997
[c15]
[c14]Rick Kjeldsen, John R. Kender: Interaction with On-Screen Objects using Visual Gesture Recognition. CVPR 1997: 788-793- 1996
[c13]Rick Kjeldsen, John R. Kender: Toward the use of gesture in traditional user interfaces. FG 1996: 151-156
[c12]- 1995
[j7]Il-Pyung Park, John R. Kender: Topological Direction-Giving and Visual Navigation in Large Environments. Artif. Intell. 78(1-2): 355-395 (1995)
[j6]John R. Kender, Rick Kjeldsen: On Seeing Spaghetti: Self-Adjusting Piecewise Toroidal Recognition of Flexible Extruded Objects. IEEE Trans. Pattern Anal. Mach. Intell. 17(2): 136-157 (1995)- 1993
[c11]Alicia Abella, John R. Kender: Qualitatively Describing Objects Using Spatial Prepositions. AAAI 1993: 536-540- 1991
[j5]Charles C. Weems, Christopher M. Brown, Jon A. Webb, Tomaso Poggio, John R. Kender: Parallel Processing in the DARPA Strategic Computing Vision Program. IEEE Expert 6(5): 23-38 (1991)
[c10]John R. Kender, Rick Kjeldsen: On Seeing Spaghetti: A Novel Self-Adjusting Seven Parameter Hough Space for Analyzing Flexible Extruded Objects. IJCAI 1991: 1271-1277
1980 – 1989
- 1989
[j4]John R. Kender, Avraham Leff: Why direction-giving is hard: the complexity of using landmarks in one-dimensional navigation. IEEE Transactions on Systems, Man, and Cybernetics 19(6): 1656-1659 (1989)- 1987
[j3]Hussein Ibrahim, John R. Kender, David Elliot Shaw: Low-Level Image Analysis Tasks on Fine-Grained Tree-Structured SIMD Machines. J. Parallel Distrib. Comput. 4(6): 546-574 (1987)
[c9]Mark L. Moerdler, John R. Kender: An Integrated System that Unifies Multiple Shape from Texture Algorithms. AAAI 1987: 723-727
[c8]- 1986
[j2]Hussein A. H. Ibrahim, John R. Kender, David Elliot Shaw: On the application of massively parallel SIMD tree machines to certain intermediate-level vision tasks. Computer Vision, Graphics, and Image Processing 36(1): 53-75 (1986)
[c7]Hussein Ibrahim, John R. Kender, David Elliot Shaw: SIMD Tree Algorithms for Image Correlation. AAAI 1986: 645-651
[c6]John R. Kender, Earl Smith: Shape from Darkness: Deriving Surface Information from Dynamic Shadows. AAAI 1986: 664-669- 1983
[j1]Steven A. Shafer, Takeo Kanade, John R. Kender: Gradient space under orthography and perspective. Computer Vision, Graphics, and Image Processing 24(2): 182-199 (1983)
[c5]
[c4]- 1982
[c3]- 1980
[c2]John R. Kender, Takeo Kanade: Mapping Image Properties into Shape Constraints: Skewed Symmetry and Affine-Tramsfornable Patterns, and the Shape-from-Texture Paradigm. AAAI 1980: 4-6
1970 – 1979
- 1979
[c1]John R. Kender: Shape from Texture: An Aggregation Transform that Maps a Class of Textures into Surface Orientation. IJCAI 1979: 475-480
Coauthor Index
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last updated on 2013-06-18 22:41 CEST by the dblp team



