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P. Punitha: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. M. Y. Ashkan, D. S. Guru, P. Punitha
    Skew Estimation in Persian Documents: A Novel Approach. [Citation Graph (0, 0)][DBLP]
    CGIV, 2006, pp:64-70 [Conf]
  2. P. Punitha, Naveen, D. S. Guru
    Indexing and Retrieval of Document Images by Spatial Reasoning. [Citation Graph (0, 0)][DBLP]
    ICDCIT, 2006, pp:457-464 [Conf]
  3. D. S. Guru, P. Punitha, S. Mahesh
    Skew Estimation in Digitised Documents: A Novel Approach. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2004, pp:314-319 [Conf]
  4. P. Punitha, D. S. Guru
    Similarity Retrieval of Symbolic Images with Multiple Instances of Iconic Objects: A Novel Approach. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2004, pp:417-422 [Conf]
  5. P. Punitha, Naveen, D. S. Guru
    Indexing of Document Images Based on Triangular Spatial Relationships. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:533-537 [Conf]
  6. D. S. Guru, P. Punitha
    An invariant scheme for exact match retrieval of symbolic images based upon principal component analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:1, pp:73-86 [Journal]
  7. D. S. Guru, P. Punitha, P. Nagabhushan
    Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:14, pp:2397-2408 [Journal]
  8. P. Punitha, D. S. Guru
    An invariant scheme for exact match retrieval of symbolic images: Triangular spatial relationship based approach. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:7, pp:893-907 [Journal]
  9. P. Punitha, D. S. Guru
    An Effective and Efficient Exact Match Retrieval Scheme for Symbolic Image Database Systems Based on Spatial Reasoning: A Logarithmic Search Time Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1368-1381 [Journal]

  10. User variance and its impact on video retrieval benchmarking. [Citation Graph (, )][DBLP]


  11. Diversity, Assortment, Dissimilarity, Variety: A Study of Diversity Measures Using Low Level Features for Video Retrieval. [Citation Graph (, )][DBLP]


  12. Split and Merge Based Story Segmentation in News Videos. [Citation Graph (, )][DBLP]


  13. Topological Triangular Spatial Relationship. [Citation Graph (, )][DBLP]


  14. Concept, content and the convict. [Citation Graph (, )][DBLP]


  15. TV News Story Segmentation Based on Semantic Coherence and Content Similarity. [Citation Graph (, )][DBLP]


  16. Topic prerogative feature selection using multiple query examples for automatic video retrieval. [Citation Graph (, )][DBLP]


  17. Statement-Based Semantic Annotation of Media Resources. [Citation Graph (, )][DBLP]


  18. Shot Boundary Detection Based on Eigen Coefficients and Small Eigen Value. [Citation Graph (, )][DBLP]


  19. Glasgow University at TRECVID 2008. [Citation Graph (, )][DBLP]


  20. Glasgow University at TRECVID 2007. [Citation Graph (, )][DBLP]


  21. K-Space at TRECVid 2008. [Citation Graph (, )][DBLP]


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