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					                                                             ISO/IECJTC1/SC29/WG1N XXXX
                                                                           November 18, 2005




                                    ISO/IEC JTC1/SC29/WG1
                                          (ITU-T SG8)


                           Coding of Still Pictures
                                 JBIG                     JPEG
                          Joint Bi-level Image          Joint Photographic
                             Experts Group                Experts Group




            TITLE: Scopes and Requirements for Advanced Image Coding (AIC) version 1.0



SOURCE:     WG1


PROJECT: AIC


STATUS:     Draft


REQUESTED
ACTION: For discussion and feed-back


DISTRIBUTION:        WG1 members




Contact:
ISO/IEC JTC 1/SC 29/WG 1 Convener - Dr. Daniel T. Lee
Yahoo!, Rm 2802, Sunning Plaza, 10 Hysan Avenue, Causeway Bay, Hong Kong
Tel: +1 408 992 7051/+852 2882 3898, Fax: +1 253 830 0372, E-mail: dlee@yahoo-inc.com
   INTERNATIONAL ORGANISATION FOR STANDARDISATION
     ORGANISATION INTERNATIONALE DE NORMALISATION
                                  ISO/IEC JTC1/SC29/WG1
                             CODING OF STILL PICTURES


                                           ISO/IEC JTC 1/SC 29/WG 1                   N3829
                                                                                    Date: 2005-11-18


  Title: Scopes and Requirements for Advanced Image Coding (AIC)
version 1.0

   Source: Ad Hoc Group on Requirements




1. Introduction
    This document summarizes the results of discussions which took place at the Singapore WG1 meeting
in November 2005, regarding the Advanced Image Coding proposed work item, and its identified
requirements and scope.




2. Requirements for AIC
     As evidenced by current deployment of JPEG 2000, which has been particularly successful in those
applications where previous JPEG standard have not met at all, or did not match well their requirements,
it is felt that AIC should primarily focus on approaches that would address requirements either not
addressed, or not fully met by JPEG 2000.



2.1 Application Requirements

           Development software, test environment, browsers integration
           Forward compatibility with previous standards (decoding previously encoded images)
           Network protocols/effects integration
           Image processing integration
           Image analysis/understanding/documentation integration
           Sensors parameters independence (geometry, response, sensitivity)




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           Content and context aware encoding/decoding




2.2 Technical requirements

           Low/Scalable complexity and power consumption
           High compression efficiency in high quality imaging
           Flexibility of implementation (in terms of required resources)
           Compressed domain manipulation
           Efficient 3D region of interest decoding/access
           Unique algorithm core for compression of multiple dimensions images (spatial, components,
            time, etc.)




    3. JPEG 2000 deployment

    JPEG 2000 has been successful in being deployed in a large number of applications, and continues its
penetration in others. The following summarizes some of such areas and the reasons that are identified for
the deployment. Likewise, JPEG 2000 has not been so-far widely used in a number of other applications
and areas. Although, it is expected that this may change, similar lists of reasons that have delayed speedy
deployment have been identified. For every application, the features that were felt to be the most
instrumental in the decision of deployment are given.



3.1 Application areas where JPEG 2000 is being deployed with some success

           Digital Cinema
                 o   Scalability, Color space, high bit-depth, quality, IPR
           Video Surveillance
                 o   Legal issues, compression efficiency, scalability, low-delay, low frame-rate, frame-
                     based access
           Security applications (drivers license/passports/ID cards)
                 o   Quality, metadata, scalability, JPSEC
           Geographic imaging, mapping, remote sensing
                 o   Metadata, scalability, multi-component, JPIP, large image handling
           Defense imaging
                 o   Scalability, high bit-depth, quality, lossless, compression efficiency, large image
                     handling, JPIP, multi-component, rate-control, low-delay, Region of Interest
           Archiving




                                                       3
                o    Scalability, JPM, JPIP, high bit-depth, quality, metadata, lossless, large image
                     handling
           Biometrics
                o    Quality, scalability
           Computer graphics/animations
                o    Random access, scalability, JPIP
           Office equipment (copiers/scanners/printers)
                o    Scalability quality, lossless, JPM, JPIP, JPSEC
           Medical imaging
                o    Lossless, Quality control, Compression efficiency, part 2, JPIP, high bit-depth,
                     scalability


   The main reasons behind such a successful deployment in the above application areas have been
identified to be:
           Combination of several efficient features at the same time
           Scalability
           High bit-depth
           Implementation in imaging software
           Implementations in hardware (chips, FPGA, DSPs)



3.2 Emerging applications where JPEG 2000 is being introduced

           Multimedia wireless home networking (high resolution video, games)
                o    Error resilience, low-delay, quality
           Digital Video Recorder
                o    Ease of editing, high quality
           Electronic Publishing (e-books)
                o    Scalability, JPM, JPSEC



3.3 Applications where there has not been strong deployment so-far

           Digital Still Camera
                o    IPR, complexity, power consumption, cost sensitivity
           Mobile phones
                o    Power consumption, complexity, lack of adoption in a mobile standard
           Internet browsers




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                 o    IPR, Lack of content
            Personal Entertainment Appliances
                 o    Lack of content
    In order to achieve successful penetration, the two first identified applications should create content
for the last two. In this deployment of JPEG 2000 in the above applications are closely related to each
other.
    In general one can say that JPEG 2000 has been successfully deployed in professional applications,
but that its adoption in consumer applications is taking longer than expected.



3.4 Applications where JPEG 2000 is not used

            Non-destructive testing (e.g., radiograph)
                 o    Lack of awareness
            Video Broadcasting
                 o    Bit-rate limitations, too many established standards
            Graphics Arts
                 o    Not used in graphics arts software
            Games
                 o    Lack of awareness, dynamic textures
            Space exploration imaging
                 o    Complexity




4. Evaluation methodology
   According to its roadmap, AIC starts its activities by first defining a set of metrics and protocols on
how to assess and to evaluate in an efficient and quantifiable manner, image coding algorithms for various
applications and environments, taking into account their desired features (requirements). Such evaluation
methodology should include a set of appropriately selected test images, together with efficiently
compressed anchors using the best state-of-the-art JPEG 2000 compression schemes, in order to allow fair
comparisons.


5. Examples of potential and related technologies
   Several image compression algorithms are under investigation in the research community which could
be considered as potential solutions for AIC. Possible candidates are but are not limited to:
            X-lets
            Non-uniform transform coding
            Multiple Description Coding
            Network Coding/Distributed Source Coding
            Joint Source-Channel Coding




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