W. B. Seales et al., "Object recognition in compressed imagery," Image Vis. Comput., vol. 16, pp. 337--353, 1998. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Local Color Analysis for Scene Break Detection.. - Sánchez, Binefa.. (Correct)
....to compare should be reduced to very few dimensions. This is achieved applying PCA to the color histograms of shot representatives. This statistical technique has been used extensively for object recognition tasks (Turk and Pentland [10] Nayar et al. 4] Huttenlocher et al. 2] Seales et al. [8]) Let h be the color histogram of a frame represented as a column vector. Given a set of learning histograms hm , m = 1: M,we define the matrix X = h 1 ; c# : # hM ; c] where c is the average of the hm s. The average histogram is subtracted from each hm so that the predominant ....
.... its eigenvectors and let E be the matrix [e 1 #: #e N ] Each hm is rewritten in terms of the orthogonal basis defined by the eigenvectors of XX T as gm = E T (hm ; c) As distances are preserved under an orthonormal change of basis, it can be shown that jjh m ; hn jj 2 = jjg m ; gn jj 2 [8]. The most important fact is that hm can be approximated using just those eigenvectors corresponding to the k largest eigenvalues, rather than all N eigenvectors, where k N . This low dimensional representation is intended to capture the important characteristics of the set of learning images. ....
W. B. Seales, C. J. Yuan, W. Hu, and M. D. Cuts. Object recognition in compressed imagery. Image and Vision Computing, 16:337--352, 1998.
Fast Partial Eigenvalue Decomposition With Wavelet Transformation.. - Li (1999) (1 citation) (Correct)
....such as image recognitions can be well performed on the wavelet transformed images and consequently only partial eigendecompositions of transformed data matrices are asked for. But we shall not dwell too much along this line as this is out of the scope of this paper. Interested reader may consult [23]. We have chosen to illustrate our idea by orthogonal wavelet transformations, a similar idea can be developed and is expected to work equally well for images compressed by bio orthogonal wavelets [5, 7] Acknowledgment The author is grateful to Mr. M. Brown who brought this partial ....
W. B. Seales, M. D. Cutts, C. J. Yuan, and W. Hu. Object recognition in compressed imagery. Image and Vision Computing, 1998. to appear.
Color Image Indexing Using BTC - Qiu (2003) (Correct)
No context found.
W. B. Seales et al., "Object recognition in compressed imagery," Image Vis. Comput., vol. 16, pp. 337--353, 1998.
Color Image Coding, Indexing and Retrieval Using Binary Space.. - Qiu, Sudirman (2001) (Correct)
No context found.
W. B. Seales et al, "Object recognition in compressed imagery", Image and Vision Computing, 16, pp. 337-352, 1998
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC