3-D wavelet coding of video with arbitrary regions of support

Minami, G.; Xiong, Zixiang; Wang, A.; Mehrotra, Sanjeev

doi:10.1109/76.946523

Cited by 69 publications

(38 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To make video quality and transmission bit rate scalable, this paper applied discrete wavelet transformation (DWT) of a high compression rate to the DVC system [20]. In this SDVC scheme, WZ video coding, which exploits DWT and Slepian-Wolf Coding (SWC) [3], is the key part.…”

Section: The Scalable Idea Of Wzfsmentioning

confidence: 99%

See 1 more Smart Citation

Scalable Distributed Video Coding for Wireless Video Sensor Networks

Yang

Qing

et al. 2018

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYWireless video sensor networks address problems, such as low power consumption of sensor nodes, low computing capacity of nodes, and unstable channel bandwidth. To transmit video of distributed video coding in wireless video sensor networks, we propose an efficient scalable distributed video coding scheme. In this scheme, the scalable WynerZiv frame is based on transmission of different wavelet information, while the Key frame is based on transmission of different residual information. A successive refinement of side information for the Wyner-Ziv and Key frames are proposed in this scheme. Test results show that both the WynerZiv and Key frames have four layers in quality and bit-rate scalable, but no increase in complexity of the encoder. key words: distributed video coding, scalable video coding, wireless video sensor network, wavelet transform, Slepian-Wolf coding

show abstract

Section: The Scalable Idea Of Wzfsmentioning

confidence: 99%

“…The delta rate of the 'hall monitor' is higher than the 'foreman'. The proposed SDVC scheme is an equal division [20]. Thus, the more SI is upgraded in the EL 1 of the proposed scheme, less bit rate is used in the next ELs.…”

Section: Scalability Of the Wzfsmentioning

confidence: 99%

Scalable Distributed Video Coding for Wireless Video Sensor Networks

Yang

Qing

et al. 2018

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

show abstract

“…In this method the images are segmented into the foreground and background.For coding of shape information of ROI, chain code-based shape coding scheme [12] is used. Then critically sampled shapeadaptive integer wavelet transforms (IWTs) [13] are performed on the foreground and background image separately.Then all the foreground bit stream, the background bit stream and the shape-coding bit stream are combined and a single bit stream is created.The multipass "zerotree" coding is used to reduce the redundancy.The spatial orientation trees are divided in the wavelet domain according to whether all or some coefficients are inside or outside the ROIs [13]. The EBCOT's context model improves SPIHT's coding efficiency.…”

Section: Review Of Related Researchmentioning

confidence: 99%

Review on Region of Interest Coding Techniques for Medical Image Compression

Jangbari¹,

Patel²

2016

IJCA

View full text Add to dashboard Cite

Telemedicine is a field of medicine characterized by telecommunication for clinical health care and transmission of medical images and videos. For transmission, a huge bandwidth is required over the internet. The size of the images that belongs to a single patient is very large which contains resolution factor and diagnostic images. So there is a need for efficient compression techniques for compressing these medical images.The regions which are considered to be more important than others in medical images is known as a Region of Interest (ROI) e.g. tumor is ROI in brain MRI. In this work, the ROI is detected by the saliency map technique, after that targets or ROIs be coded at available bits while the remainder of the background or non-ROI part is coded using fewer bits.By this method, the target regions within the video frame or image will be well preserved while the number of bits needed to code the video sequence or images is reduced.Thus, the transmission bandwidth and storage requirements are reduced.

show abstract

“…In this case, zerotree structures aggregate large regions of transparent coefficients into zerotree symbols along with the opaque insignificant coefficients. A further refinement on this basic approach observes that greater efficiency can be obtained by discarding all sets of coefficients that lie entirely within a transparent region from further consideration [16].…”

Section: A Shape-adaptive Codingmentioning

confidence: 99%

Spectral-decorrelation strategies for the compression of hyperspectral imagery

Tamhankar

Fowler

2007

2007 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

Abstract-Several linear transforms with constructions more general than that of principal component analysis are considered for spectral decorrelation in the compression of hyperspectral imagery. Specifically, orthogonal nonnegative matrix factorization, generalized principal component analysis, and principal component analysis coupled with explicit segmentation based on spectral angle mapping are considered. These spectraldecorrelation techniques are employed in conjunction with wavelet-based spatial decorrelation for hyperspectral compression using a 3D version of the well-known SPIHT algorithm. A shape-adaptive wavelet transform and shape-adaptive SPIHT coder are used in the case of the latter two spectral-decorrelation techniques which segment the hyperspectral dataset into multiple distinct pixel classes. Experimental results reveal that, despite their general formulation, the proposed techniques fail to offer spectral-decorrelation performance superior to that of traditional principal component analysis.

show abstract

3-D wavelet coding of video with arbitrary regions of support

Cited by 69 publications

References 19 publications

Scalable Distributed Video Coding for Wireless Video Sensor Networks

Scalable Distributed Video Coding for Wireless Video Sensor Networks

Review on Region of Interest Coding Techniques for Medical Image Compression

Spectral-decorrelation strategies for the compression of hyperspectral imagery

Contact Info

Product

Resources

About