Importance prioritisation in JPEG 2000 for improved interpretability

Nguyen, Anthony; Chandran, Vinod; Sridharan, Subramanian

doi:10.1016/j.image.2004.08.005

Cited by 2 publications

(7 citation statements)

References 13 publications

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“…In particular, the Importance Prioritised JPEG 2000 (IMP-J2K) ROI coding method [16] makes use of an importance map input specification for the coding of single or multiple ROIs with varying degrees of importance. This feature is highly suitable for encoding and prioritising ROIs using the importance maps generated from the Gaze-J2K process.…”

Section: Application To Image Compressionmentioning

confidence: 99%

“…Other ROI coding parameters used were as follows: the lowest resolution sub-bands of a four level wavelet decomposition were assigned an importance score equal to the ROI threshold of 0.15 to provide some degree of background context while prioritising the ROIs, and a code-block size of 32 Â 32 and seven octave quality layered bit-rates spaced between 0.03125 ð¼ 2 À5 Þ and 2 bpp were used for the code-stream construction. For more information on the ROI coding parameters used, the reader is referred to [16,15]. Fig.…”

Section: Article In Pressmentioning

confidence: 99%

“…Furthermore, when there are two ROIs, the PSNR performance were, in general, in order of importance. It is also important to note that the value of a ROI's importance score and its corresponding PSNR value at various bit-rates are dependent on a number of factors including the ROI size and location with respect to the code-block boundaries [16,15].…”

Section: Article In Pressmentioning

confidence: 99%

“…This measure treats all impairments as equally important and hence may not correlate well with image quality or interpretability [4,24,38,16]. An example of a JPEG 2000 encoded 'Lena' image is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…[7,8]) and proposed (e.g. [6,37,36,13,34,16,22]) to encode and prioritise pre-defined ROIs. An overview of the various algorithms and their advantages and limitations can be found in [16,15].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Gaze tracking for region of interest coding in JPEG 2000

Nguyen

Chandran

Sridharan

2006

Signal Processing: Image Communication

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Current image coding systems such as JPEG are far away from the capability of the human perceptual system in that the encoding may not maximise the reconstruction quality of image contents. Humans are often concerned with the interpretability of the image and thus enhanced reconstruction quality in image contents would facilitate improved recognition performance. This paper addresses this issue by incorporating characteristics of the human perceptual system into an image coding system. This is achieved by analysing the spatial and temporal characteristics of the human visual attention system as recorded from an eye-tracking device at the encoding end. Human visual attention mechanisms direct the viewer's eye movements around the image to provide a sequence of fixations, which are analysed, clustered and classified into regions of interest (ROI). These ROIs are used to selectively encode and prioritise regions such that an improved image content recognition performance can be achieved. r 2005 Published by Elsevier B.V.

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Section: Application To Image Compressionmentioning

confidence: 99%

Section: Article In Pressmentioning

confidence: 99%

Section: Article In Pressmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Gaze tracking for region of interest coding in JPEG 2000

Nguyen

Chandran

Sridharan

2006

Signal Processing: Image Communication

Self Cite

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Gaze-J2K: gaze-influenced image coding using eye trackers and JPEG 2000

Nguyen,

Chandran,

Sridharan

2006

JTIT

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The use of visual content in applications of the digital computer has increased dramatically with the advent of the Internet and world wide web. Image coding standards such as JPEG 2000 have been developed to provide scalable and progressive compression of imagery. Advances in image and video analysis are also making human-computer interaction multi-modal rather than through the use of a keyboard or mouse. An eye tracker is an example input device that can be used by an application that displays visual content to adapt to the viewer. Many features are required of the format to facilitate this adaptation, and some are already part of image coding standards such as JPEG 2000. This paper presents a system incorporating the use of eye tracking and JPEG 2000, called Gaze-J2K, to allow a customised encoding of an image by using a user’s gaze pattern. The gaze pattern is used to automatically determine and assign importance to fixated regions in an image, and subsequently constrain the encoding of the image to these regions.

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Importance prioritisation in JPEG 2000 for improved interpretability

Cited by 2 publications

References 13 publications

Gaze tracking for region of interest coding in JPEG 2000

Gaze tracking for region of interest coding in JPEG 2000

Gaze-J2K: gaze-influenced image coding using eye trackers and JPEG 2000

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