Content-based image compression for arbitrary-resolution display devices
The existing image coding methods cannot support content-based spatial scalability with high compression. In mobile multimedia communications, image retargeting is generally required at the user end. However, content-based image retargeting (e.g., seam carving) is with high computational complexity...
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sg-ntu-dr.10356-962512020-05-28T07:17:25Z Content-based image compression for arbitrary-resolution display devices Deng, Chenwei Lin, Weisi Cai, Jianfei School of Computer Engineering DRNTU::Engineering::Computer science and engineering The existing image coding methods cannot support content-based spatial scalability with high compression. In mobile multimedia communications, image retargeting is generally required at the user end. However, content-based image retargeting (e.g., seam carving) is with high computational complexity and is not suitable for mobile devices with limited computing power. The work presented in this paper addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions, without heavy computational burden to the receiving end. In this paper, the principle of seam carving is incorporated into a wavelet codec (i.e., SPIHT ). For each input image, block-based seam energy map is generated in the pixel domain. In the meantime, multilevel discrete wavelet transform (DWT) is performed. Different from the conventional wavelet-based coding schemes, DWT coefficients here are grouped and encoded according to the resultant seam energy map. The bitstream is then transmitted in energy descending order. At the decoder side, the end user has the ultimate choice for the spatial scalability without the need to examine the visual content; an image with arbitrary aspect ratio can be reconstructed in a content-aware manner based upon the side information of the seam energy map. Experimental results show that, for the end users, the received images with an arbitrary resolution preserve important content while achieving high coding efficiency for transmission. 2013-07-15T04:30:32Z 2019-12-06T19:27:52Z 2013-07-15T04:30:32Z 2019-12-06T19:27:52Z 2012 2012 Journal Article Deng, C., Lin, W., & Cai, J. (2012). Content-Based Image Compression for Arbitrary-Resolution Display Devices. IEEE Transactions on Multimedia, 14(4), 1127-1139. 1520-9210 https://hdl.handle.net/10356/96251 http://hdl.handle.net/10220/11402 10.1109/TMM.2012.2191270 en IEEE transactions on multimedia © 2012 IEEE. |
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DRNTU::Engineering::Computer science and engineering Deng, Chenwei Lin, Weisi Cai, Jianfei Content-based image compression for arbitrary-resolution display devices |
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The existing image coding methods cannot support content-based spatial scalability with high compression. In mobile multimedia communications, image retargeting is generally required at the user end. However, content-based image retargeting (e.g., seam carving) is with high computational complexity and is not suitable for mobile devices with limited computing power. The work presented in this paper addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions, without heavy computational burden to the receiving end. In this paper, the principle of seam carving is incorporated into a wavelet codec (i.e., SPIHT ). For each input image, block-based seam energy map is generated in the pixel domain. In the meantime, multilevel discrete wavelet transform (DWT) is performed. Different from the conventional wavelet-based coding schemes, DWT coefficients here are grouped and encoded according to the resultant seam energy map. The bitstream is then transmitted in energy descending order. At the decoder side, the end user has the ultimate choice for the spatial scalability without the need to examine the visual content; an image with arbitrary aspect ratio can be reconstructed in a content-aware manner based upon the side information of the seam energy map. Experimental results show that, for the end users, the received images with an arbitrary resolution preserve important content while achieving high coding efficiency for transmission. |
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School of Computer Engineering |
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School of Computer Engineering Deng, Chenwei Lin, Weisi Cai, Jianfei |
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Deng, Chenwei Lin, Weisi Cai, Jianfei |
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Deng, Chenwei |
title |
Content-based image compression for arbitrary-resolution display devices |
title_short |
Content-based image compression for arbitrary-resolution display devices |
title_full |
Content-based image compression for arbitrary-resolution display devices |
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Content-based image compression for arbitrary-resolution display devices |
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Content-based image compression for arbitrary-resolution display devices |
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content-based image compression for arbitrary-resolution display devices |
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2013 |
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https://hdl.handle.net/10356/96251 http://hdl.handle.net/10220/11402 |
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