IEEE Trans Image Process - Video watermarking with empirical PCA-based decoding.

Tópicos

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{ motion(1329) object(1292) video(1091) }
{ analysi(2126) use(1163) compon(1037) }
{ framework(1458) process(801) describ(734) }
{ method(1969) cluster(1462) data(1082) }
{ learn(2355) train(1041) set(1003) }
{ method(1557) propos(1049) approach(1037) }
{ high(1669) rate(1365) level(1280) }
{ result(1111) use(1088) new(759) }
{ imag(1947) propos(1133) code(1026) }
{ perform(999) metric(946) measur(919) }
{ import(1318) role(1303) understand(862) }
{ health(3367) inform(1360) care(1135) }
{ measur(2081) correl(1212) valu(896) }
{ imag(1057) registr(996) error(939) }
{ bind(1733) structur(1185) ligand(1036) }
{ featur(3375) classif(2383) classifi(1994) }
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{ can(981) present(881) function(850) }
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{ decis(3086) make(1611) patient(1517) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

A new method for video watermarking is presented in this paper. In the proposed method, data are embedded in the LL subband of wavelet coefficients, and decoding is performed based on the comparison among the elements of the first principal component resulting from empirical principal component analysis (PCA). The locations for data embedding are selected such that they offer the most robust PCA-based decoding. Data are inserted in the LL subband in an adaptive manner based on the energy of high frequency subbands and visual saliency. Extensive testing was performed under various types of attacks, such as spatial attacks (uniform and Gaussian noise and median filtering), compression attacks (MPEG-2, H. 263, and H. 264), and temporal attacks (frame repetition, frame averaging, frame swapping, and frame rate conversion). The results show that the proposed method offers improved performance compared with several methods from the literature, especially under additive noise and compression attacks.

Resumo Limpo

new method video watermark present paper propos method data embed ll subband wavelet coeffici decod perform base comparison among element first princip compon result empir princip compon analysi pca locat data embed select offer robust pcabas decod data insert ll subband adapt manner base energi high frequenc subband visual salienc extens test perform various type attack spatial attack uniform gaussian nois median filter compress attack mpeg h h tempor attack frame repetit frame averag frame swap frame rate convers result show propos method offer improv perform compar sever method literatur especi addit nois compress attack

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