Fast DCT Image Resizing and Video Compositing for Multi-Point Video Conferencing

• Autorzy: Ilgin H. A. , İlk H. G. , Voznak M. , Chaparro L. F.

Warianty tytułu

PL

Szybkie skalowanie i składanie obrazów wideo z wykorzystaniem dyskretnej transformacji kosinusowej, na potrzeby wielopunktowej wideo-konferencji

• Języki publikacji: EN

Abstrakty

EN

Video conferencing is a real time process that requires fast operations. In this paper a Discrete Cosine Transform (DCT)-based video compositing structure for multi-point video conferencing with a fast DCT method for integer and rational image resizing is presented. Whole compositing process is kept in the DCT domain to avoid comprehensive operations. Our procedure does not only improve speed but also the quality of the resized video frames. Proposed method is illustrated and compared with other methods by means of simulation results with different video sequences.

PL

W artykule przedstawiono metodę składania obrazów, pochodzących z wielu źródeł, na potrzeby wideo-konferencji. Działanie oparte jest na dyskretnej transformacji kosinusowej, którą wykorzystano do całościowego i wymiernego skalowania obrazu. Opracowany algorytm poprawia szybkość działania oraz jakość skalowania. Dokonane zostało symulacyjne porównanie działania z innymi metodami.

Słowa kluczowe

EN

multi-point video conferencing; video compositing; image resizing; DCT decimation; DCT interpolation; significance map coding; zerotree coding; transcoding

PL

wielopunktowa wideo-konferencja; składanie obrazów wideo; skalowanie obrazu; dziesiątkowanie DCT; interpolacja DCT; kodowanie mapy istotności; transkodowanie

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 2b
• Strony: 193--198
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Ilgin H. A.

• Ankara University

autor

İlk H. G.

• Ankara University

autor

Voznak M.

• VSB-Technical University of Ostrava

autor

Chaparro L. F.

• University of Pittsburgh

Bibliografia

• [1] J. M. Shapiro, ``Embedded Image Coding Using Zerotrees of Wavelet Coefficients,'' IEEE Trans. Signal Proc., Vol. 41, No. 12, pp. 3445-3462, Dec. 1993.
• [2] Z. Xiong, O. G. Guleryuz and M. T. Orchard, ``A DCT-Based Embedded Image Coder,'' IEEE Signal Processing Letters, Vol. 3, No. 11, pp. 289-290, Nov. 1996.
• [3] D. M. Monro and G. J. Dickson, ``Zerotree Coding of DCT coefficients,'' IEEE Intern. Conf. Image Proc., Vol. 2, pp. 625- 628, Oct. 1997.
• [4] A. Said and W. A. Pearlman, ``A new, fast, and efficient image codec based on set partitioning in hierarchical trees,'' IEEE Trans. Circ. and Sys. for Vid. Tech., pp. 243-250, June 1996.
• [5] Yang Hu, W. A. Pearlman, "Differential-SPIHT for Image Sequence Coding", Proc. IEEE Intl. Conf. Acoustic, Speech, and Signal Processing, p. 894, Dallas, TX, Apr. 2010.
• [6] S.-F. Chang and D. G. Messerschmitt, „A new approach to decoding and compositing motion-compensated DCT-based images,'' Proc. IEEE Intl. Conf. Acoustic, Speech, and Signal Processing, Vol. 5, pp. 421-424, Minneapolis, MN, Apr. 1993.
• [7] S.-F. Chang and D. G. Messerschmitt, ``Manipulation and Compositing of MC-DCT Compressed Video,'' IEEE Journal on Selected Areas in Commun., Vol. 13, No. 1, pp. 1-11, Jan. 1995.
• [8] Y. Noguchi, D. G. Messerschmitt and S.-F. Chang, ``MPEG Video Compositing in the Compressed Domain,'' Proc. IEEE Intl. Symp. Circuits and Systems, Vol. 2, pp. 596-599, May 1996.
• [9] M. Song, A. Cai, J.-a. Sun, ``Motion estimation in DCT domain,'' Proc. IEEE Comm. Technology, ICCT'96, Vol. 2, pp. 670-674, May 1996.
• [10] N. Merhav and V. Bhaskaran, ``A Fast Algorithm for DCTdomain Inverse Motion Compensation,'' Proc. IEEE International Conf. Acoustics, Speech, and Signal Processing, Vol. 4, pp. 2307-2310, May 1996.
• [11] N. Merhav and V. Bhaskaran, ``Fast Algorithms for DCTdomain Image Downsampling and For Inverse Motion Compensation,'' IEEE Trans. Circuits and Syst. for Video Technology, Vol. 7, No. 3, pp. 468-476, June 1997.
• [12] J. Youn and M.-T. Sun, ``A fast motion vector composition method for temporal transcoding,'' Proc. IEEE Intl. Symp. Circuits and Systems, Vol. 4, pp. 243-246, June 1999.
• [13] R. Dugad and N. Ahuja, ``A Fast Scheme for Image Size Change in the Compressed Domain,'' IEEE Trans. Circuits and Syst. for Video Technology, pp.461-474, Apr. 2001.
• [14] J. Jian and G. Feng, ``The Spatial Relationship of DCT Coefficients Between a Block and its Sub-blocks,'' IEEE Trans. Signal Proc., pp. 1160-1169, May 2002.
• [15] H. Park, Y. Park and S.-K. Oh, ``L/M fold image resizing in block-DCT domain using symmetric convolution,'' IEEE Trans. Image Process., vol. 12, pp. 1016-1034, Sept. 2003.
• [16] J. Mukherjee and S. K. Mitra, ``Arbitrary resizing of images in DCT space,'' IEE Proc.-Vis. Image Signal Process., vol. 152, pp. 155-164, Apr. 2005.
• [17] H. A. Ilgin and L. F. Chaparro, ``Low-Bit Rate Video Coding Using DCT-based Fast Decimation/Interpolation and Embedded Zerotree Coding,'' IEEE Trans. Circuits and Syst. for Video Technology, Vol. 17, No. 7, pp. 833-844, July 2007.
• [18] I. H. Witten, R. M. Neal and J. G. Cleary, ``Arithmetic Coding for Data Compression,'' Commun. ACM, Vol. 30, No. 6, pp. 520-540, June 1987.
• [19] C.-K. Cheong, K.-S. Cho, and S.-W. Lee, “Signifcance tree image sequence coding with DCT-based pyramid structure," in Proc. IEEE International Conf. Image Proc., Vancouver, Canada, Sep. 2000, Vol. 2, pp. 859-862.
• [20] A. Ortega and K. Ramchandran, “Rate-distortion methods for image and video compression," IEEE Signal Processing Magazine, pp. 23-50, Nov. 1998.