Survey of progressive image transmission methods

Chee, Youngjoon

doi:10.1002/(sici)1098-1098(1999)10:1<3::aid-ima2>3.0.co;2-e

Cited by 14 publications

(9 citation statements)

References 84 publications

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“…Prior analysis [2,15] has revealed that all progressive refinement schemes first transfer the source data into an appropriate LOD hier archy before they are incrementally transferred and displayed. As hierarchy-building is the most complex process in the whole refine ment process, this hierarchy is created and stored only once and used multiple times for different demands.…”

Section: Related Research Concerning Progressive Re-finementmentioning

confidence: 99%

Progressive parallel coordinates

Rosenbaum

Zhi

Hamann

2012

2012 IEEE Pacific Visualization Symposium

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Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presen tation into one approach. Specifically, this paper concerns the ef fective use of progressive parallel coordinates (PPCs), utilized rou tinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and im proved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.

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Section: Related Research Concerning Progressive Re-finementmentioning

confidence: 99%

Progressive parallel coordinates

Rosenbaum

Zhi

Hamann

2012

2012 IEEE Pacific Visualization Symposium

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“…They come to the important conclusion that total loading time is not an accurate measurement of the overall loading process' effectiveness. For a broader review (but not evaluation) of image loading methods, please refer to [2].…”

Section: Related Workmentioning

confidence: 99%

“…Inside-out spiral, the best performing static-order loading from the previous experiment, was also included (as a performance upper bound for static-order schemes, referred to as spiral henceforth). Additionally, three methods were included that represent advanced loading features available in the GIF, JPG, PNG and JPEG2000 image formats [2,5,11]. Finally, the remarkable difference in performance between top-to-bottom and spiral loading, led us to create a new variant of bilinear interlacing that loads in a spiral fashion.…”

Section: Conditionsmentioning

confidence: 99%

Evaluation of progressive image loading schemes

Harrison

Dey

Hudson

2010

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Although network bandwidth has increased dramatically, high-resolution images often take several seconds to load, and considerably longer on mobile devices over wireless connections. Progressive image loading techniques allow for some visual content to be displayed prior to the whole file being downloaded. In this note, we present an empirical evaluation of popular progressive image loading methods, and derive one novel technique from our findings. Results suggest a spiral variation of bilinear interlacing can yield an improvement in content recognition time.

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“…When a large image is transmitted sequentially across a low bandwidth connection, users should wait for a long time in order to inspect the image visually in different IP-based applications, such as browsing World Wide Web visually, interactive visual search from a remote data base, and remote surveillance. Hence, a hierarchical image coding system is designed to support these applications by transmitting the image progressively [1]. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 A hierarchical image coding transforms an image into a hierarchical representation that embeds a base layer and multiple detail or enhanced layers as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…In this encoding method, the spatial resolution or the quality of an image is updated progressively. Hence, hierachical encoding methods can be divided into two types: progressive resolution (multi-resolution) encoding and progressive quality (multi-quality) encoding [1]. In progressive quality image coding, the spatial resolution of each layer of the hierarchical data structure is identical to that of the original image as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Multi-resolution Lossless Image Compression for Progressive Transmission and Multiple Decoding Using an Enhanced Edge Adaptive Hierarchical Interpolation

2017

KSII TIIS

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In a multi-resolution image encoding system, the image is encoded into a single file as a layer of bit streams, and then it is transmitted layer by layer progressively to reduce the transmission time across a low bandwidth connection. This encoding scheme is also suitable for multiple decoders, each with different capabilities ranging from a handheld device to a PC. In our previous work, we proposed an edge adaptive hierarchical interpolation algorithm for multi-resolution image coding system. In this paper, we enhanced its compression efficiency by adding three major components. First, its prediction accuracy is improved using context adaptive error modeling as a feedback. Second, the conditional probability of prediction errors is sharpened by removing the sign redundancy among local prediction errors by applying sign flipping. Third, the conditional probability is sharpened further by reducing the number of distinct error symbols using error remapping function. Experimental results on benchmark data sets reveal that the enhanced algorithm achieves a better compression bit rate than our previous algorithm and other algorithms. It is shown that compression bit rate is much better for images that are rich in directional edges and textures. The enhanced algorithm also shows better rate-distortion performance and visual quality at the intermediate stages of progressive image transmission.

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Survey of progressive image transmission methods

Cited by 14 publications

References 84 publications

Progressive parallel coordinates

Progressive parallel coordinates

Evaluation of progressive image loading schemes

Multi-resolution Lossless Image Compression for Progressive Transmission and Multiple Decoding Using an Enhanced Edge Adaptive Hierarchical Interpolation

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