C. Mohan
EDBT 2013
With more and more audio-visual information being available over the Web, the problem of multi-media indexing, i.e. efficient ways of searching and locating multimedia data in response to queries, has become increasingly important. Efficient content-based access, however, needs a good description and representation of multimedia information. In the paper, we present descriptors for color and shape information in images that we proposed for MPEG-7. In particular, we describe two ways of capturing color content in images called Color Histogram and Region Color. These descriptors are suitable for a wide variety of applications requiring image-to-image matching and object-to-image matching. We also present descriptors for capturing shape information on objects and within images called affine structure and location hash tree. These shape descriptors enable a pose-invariant localization and recognition of 2d patterns. The utility of color and shape descriptors is demonstrated through experiments on the MPEG-7 dataset.
C. Mohan
EDBT 2013
Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding
Jonathan Ashley, Myron Flickner, et al.
SIGMOD Record
Apostol Natsev, Wei Jiang, et al.
TRECVID 2008