Search Results - "Newsam, S."

  • Showing 1 - 19 results of 19
Refine Results
  1. 1

    A texture descriptor for browsing and similarity retrieval by Wu, P., Manjunath, B.S., Newsam, S., Shin, H.D.

    Published in Signal processing. Image communication (01-09-2000)
    “…Image texture is useful in image browsing, search and retrieval. A texture descriptor based on a multiresolution decomposition using Gabor wavelets is…”
    Get full text
    Journal Article
  2. 2

    Geographic Image Retrieval Using Local Invariant Features by Yi Yang, Newsam, S.

    “…This paper investigates local invariant features for geographic (overhead) image retrieval. Local features are particularly well suited for the newer…”
    Get full text
    Journal Article
  3. 3

    Spatial pyramid co-occurrence for image classification by Yi Yang, Newsam, S.

    “…We describe a novel image representation termed spatial pyramid co-occurrence which characterizes both the photometric and geometric aspects of an image…”
    Get full text
    Conference Proceeding
  4. 4

    Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery by Yi Yang, Newsam, S.

    “…A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as…”
    Get full text
    Conference Proceeding
  5. 5

    Modeling object classes in aerial images using texture motifs by Bhagavathy, S., Newsam, S., Manjunath, B.S.

    “…We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are…”
    Get full text
    Conference Proceeding
  6. 6

    Using visibility cameras to estimate atmospheric light extinction by Graves, N, Newsam, S

    “…We describe methods for estimating the coefficient of atmospheric light extinction using visibility cameras. We use a standard haze image formation model to…”
    Get full text
    Conference Proceeding
  7. 7

    Analyzing dynamical simulations of intrinsically disordered proteins using spectral clustering by Phillips, J.L., Colvin, M.E., Lau, E.Y., Newsam, S.

    “…Continuing improvements in algorithms and computer speeds promise that an increasing number of biomolecular phenomena can be simulated by molecular dynamics to…”
    Get full text
    Conference Proceeding Journal Article
  8. 8

    Estimating the spatial extents of geospatial objects using hierarchical models by Yi Yang, Newsam, S.

    “…The goal of this work is to estimate the spatial extents of complex geospatial objects such as high schools and golf courses. Gazetteers are deficient in that…”
    Get full text
    Conference Proceeding
  9. 9

    Category-based image retrieval by Newsam, S., Sumengen, B., Manjunath, B.S.

    “…This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text…”
    Get full text
    Conference Proceeding
  10. 10

    Using texture to annotate remote sensed datasets by Newsam, S., Wang, L., Bhagavathy, S., Manjunath, B.S.

    “…Texture remains largely underutilized in the analysis of remote sensed datasets compared to descriptors based on the orthogonal spectral dimension. This paper…”
    Get full text
    Conference Proceeding
  11. 11

    Scalable spatial event representation by Tesic, J., Newsam, S., Manjunath, B.S.

    “…This work introduces a conceptual representation for complex spatial arrangements of image features in large multimedia datasets. A novel data structure,…”
    Get full text
    Conference Proceeding
  12. 12

    Semi-supervised regression with temporal image sequences by Ling Xie, Carreira-Perpinan, Miguel Á, Newsam, S

    “…We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary…”
    Get full text
    Conference Proceeding
  13. 13

    A texture descriptor for image retrieval and browsing by Wu, P., Manjunanth, B.S., Newsam, S.D., Shin, H.D.

    “…Image texture is an important visual primitive in image search and retrieval applications. To characterize texture information of images, a texture descriptor…”
    Get full text
    Conference Proceeding
  14. 14

    Object localization using texture motifs and Markov random fields by Newsam, S., Bhagavathy, S., Manjunath, B.S.

    “…This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial…”
    Get full text
    Conference Proceeding
  15. 15

    Modeling object classes in aerial images using hidden Markov models by Newsam, S., Bhagavathy, S., Manjunath, B.S.

    “…A canonical model is proposed for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are…”
    Get full text
    Conference Proceeding
  16. 16
  17. 17

    Object-based representations of spatial images by Newsam, Shawn, Bhagavathy, Sitaram, Kenney, Charles, Manjunath, B.S., Fonseca, Leila

    Published in Acta astronautica (01-03-2001)
    “…Object based representations of image data enable new content-related functionalities while facilitating management of large image databases. Developing such…”
    Get full text
    Journal Article
  18. 18

    Normalized Texture Motifs and Their Application to Statistical Object Modeling by Newsam, S.D., Manjunath, B.S.

    “…A fundamental challenge in applying texture features to statistical object modeling is recognizing differently oriented spatial patterns. Rows of moored boats…”
    Get full text
    Conference Proceeding
  19. 19

    Crowdsourcing What Is Where: Community-Contributed Photos as Volunteered Geographic Information by Newsam, S.

    Published in IEEE multimedia (01-10-2010)
    “…Leveraging large collections of georeferenced, community-contributed photographs can help solve three knowledge-discovery problems: annotating novel images,…”
    Get full text
    Magazine Article