Photo enhancement -Transform Your Digital Images

SBL’s image enhancement team can transform your digital images to make ordinary shots look brilliant. From adjusting saturation, color balance, contrast, brightness and density of images to applying filters, removing or inserting backgrounds, cropping and removing blemishes, noise and grains in images, we offer professional and expert services in quick turnarounds and at highly competitive rates.
For More Details click Here

Picsearch

Picsearch connects its users to the vast visual resources of the internet. Picsearch uses its own technology to crawl the web and has created a searchable index of images. When a user sends a query to Picsearch the result is received as a set of thumbnail images that are sorted to ensure that they are as highly relevant as possible. When the user clicks on a thumbnail they are linked to the original web site where that image is located.
Picsearch image search technology has three main features that make it unique. It has a relevancy unrivalled on the web due to its patent-pending indexing algorithms. Also, Picsearch has a family friendliness that allows children to surf in safety as all offensive material is filtered out by our advanced filtering systems. The site is also very user friendly as it's designed to be simple, fast and accurate. Due to all of these features, Picsearch is perfect for fun, school, business and families!
http://www.picsearch.com/

TinEye image search engine

TinEye is the first image search engine on the web to use image identification technology. Given an image to search for, TinEye tells you where and how that image appears all over the web—even if it has been modified.
Just as you are familiar with entering text in a regular search engine such as Google to find web pages that contain that text, TinEye lets you submit an image to find web pages that contain that image
Every day TinEye's spiders crawl the web for additional images. Using sophisticated pattern recognition algorithms, TinEye creates a unique and compact digital signature or 'fingerprint' for each one and adds it to the index.
When you want to find out where an image is being used on the web, you submit it to TinEye. The attributes of the image are analyzed instantly, and its fingerprint is compared to the fingerprint of every single image in the TinEye search index. The result? A detailed list of any websites using that image, worldwide.
Use TinEye to find out where and how an image appears on the web, even if it has been cropped or heavily modified.
http://tineye.com/

Signal Processing, Pattern Recognition and Applications (SPPRA 2009)

This conference is an international forum for researchers and practitioners interested in the advances in, and applications of, signal processing and pattern recognition. It is an opportunity to present and observe the latest research, results, and ideas in these areas. All papers submitted to this conference will be double-blind reviewed by at least two reviewers. Acceptance will be based primarily on originality and contribution. The conference chair makes the final decision on the acceptance or rejection of the paper.

SPPRA 2009 will be held in conjunction with the IASTED International Conferences on:
• Artificial Intelligence and Applications (AIA 2009)
• Software Engineering (SE 2009)
• Parallel and Distributed Computing and Networks (PDCN 2009)
• Computer Graphics and Imaging (CGIM 2009)

LOCATION
Innsbruck is nestled in the valley of the Inn River and tucked between the Austrian Alps and the Tuxer mountain range. It has twice hosted the Winter Olympics and is surrounded by the eight ski regions of the Olympic Ski World, including the Stubai Glacier, which offers skiing year round. Climbing the 14th century Stadtturm on Herzog Friedrich Strasse provides a stunning view of the town and the breathtaking scenery that surrounds it. Concerts at Ambras Castle provide listening pleasure in a beautiful renaissance setting. The sturdy medieval houses and sidewalk cafés of Old Town Innsbruck beckon you to sit for a while and watch people stroll by.
Innsbruck, with its unique blend of historical, intellectual, and recreational pursuits, offers something for every visitor. SPPRA 2009 will be held at the world-famous Congress Innsbruck, located in the heart of the city, near the historical quarter.

IMPORTANT DEADLINES
Submissions due November 27, 2008 (NEW)
Notification of acceptance December 12, 2008
Camera-ready manuscripts due January 6, 2009

http://www.iasted.org/conferences/home-643.html

I am planning to submit 2 papers in this conference. :)

Lire 0.7 Released

Lire 0.7 is a major release fixing a lot of bugs and introducing several new features including new descriptor, a simplified way to use descriptors by introducing new generic searchers and indexers as well as an generalized interface for image descriptors. There are also several improvements in indexing and search speed (especially in autocolorcorrelogram). Furthermore retrieval performance was optimized based on the Wang 1000 data set. If you use Lire 0.7 to update an existing version, please make sure that your indices are created newly from scratch. All new features have also found their way into LireDemo, which now also supports multi-threaded indexing.

Links:
Download Lire 0.7 and/or LireDemo 0.7
Screencast: Introduction to LireDemo

Image Processing Journals

1. IEEE Trans. on Pattern Analysis and Mach. Int.
2. IEEE Trans. on Image Processing
3. Pattern Recognition
4. CVGIP: Computer Vision and Image Understanding
5. International Journal of Computer Vision
6. Optical Engineering
7. Image and Vision Computing
8. Journal of Digital Imaging
9. IEEE Trans. on Systems Man and Cybernetic- Part B
10. Journal of Mathematical Imaging and Vision
11. Journal of Electronic Imaging
12. International Journal of Imaging Systems and Technology
13. Pattern Analysis and Applications
14. Pattern Recognition Letters
15. Journal of Imaging Science and Technology
16. Real-Time Imaging
17. Engineering Applications of Artificial Intelligence
18. International Journal of Pattern Recognition and Artificial Intelligence
19. IEE Proceedings - Vision, Image and Signal Processing
20. Neural Computing & Applications
21. Imaging Science Journal
22. Machine Vision and Applications
23. International Journal on Document Analysis and Recognition
24. International Journal of Image and Graphics
25. Journal of Visual Communication and Image Representation
26. Journal of Intelligent & Robotic Systems
27. Electronic Letters

Image processing useful links

Colour and Vision Research Laboratories
A very interesting site about color models. This web site provides an annotated library of easily-downloadable standard data sets relevant to color and vision research.

Computer Vision Homepage
The Computer Vision Homepage was established at Carnegie Mellon University in 1994 to provide a central location for World Wide Web links relating to computer vision research. The emphasis of the Computer Vision Homepage is on computer vision research rather than on commercial products.

Color and Computers
Web site on color, color quantization, palettes

Computer Vision, University of Nevada
Useful material on Computer Vision

NeuQuant: Fast High-Quality Image Quantization
The NeuQuant Neural-Net image quantization algorithm is a replacement for the common Median Cut algorithm.

Intelligent Control Systems Laboratory, Georgia Tech
The Intelligent Control Systems Laboratory (ICSL) at Georgia Tech is the campus center for research and academic studies in soft computing for control applications. The lab is equipped with state-of-the-art control systems and modern software development packages that enable applied research in a number of application domains such as biomedical engineering, diagnostics and prognostics, and unmanned aerial vehicles.

The Face Recognition Home Page
Relevant information in the the area of face recognitionInformation pool for the face recognition communityEntry point for novices as well as a centralized information resource

Document Understanding and Character Recognition
This system serves as a repository for Document Image Understanding and Optical Character Recognition (OCR) information and resources.

Wavelet.org Amara's Wavelet Page Matlab Wavelet Toolbox (Rice University)
The fundamental idea behind wavelets is to analyze according to scale. Indeed, some researchers in the wavelet field feel that, by using wavelets.......

Wavelets at Imager
This site offers several services intended to foster the exchange of knowledge and viewpoints related to theory and applications of wavelets.

An Introduction to Wavelets
Here at Imager, we've been doing some work with wavelets, those clever little multiresolution basis functions.

Wavelets
Wavelets, Signal Processing Algorithms, Orthogonal Basis Functions, Wavelet Applications

Rainer Lienhart Home Page
Research Interests: Image processing, 3D reconstruction, object tracking

Filip Room Home Page
Research Interests include image/video/audio content analysis, machine learning, scalable signal processing, scalable learning, scalable and adaptive algorithms, ubiquitous and distributed media computing in heterogeneous networks, and peer-to-peer networking and mass media sharing.

Anca Doloc-Mihu Home Page
Research interests: Digital image processing and restoration

Computer Vision Bibliography

The pattern recognition files
Information on the pattern recognition research area.

The Lena Story
The Lenna (or Lena) picture is one of the most widely used standard test images used for compression algorithms.

Nikos Papamarkos
Nikos Papamarkos current research interests are in digital image processing, computer vision, document processing, analysis and recognition, pattern recognition, neural networks, signal processing, filter design and optimization algorithms . He has published a number of Journal and Conferences. Also, he is author of three Greek books.

Homepage of Thomas Deselaers
Thomas Deselaers is a research and teaching assistant and PhD-student at the Human Language Technology and Pattern Recognition Group of the RWTH Aachen University.

MLDM´2009

The MLDM´2009 conference is the sixth event in a series of Machine Learning and Data Mining meetings, initially organised as international workshops. The aim of MLDM´2009 is to bring together from all over the world researchers dealing with machine learning and data mining, in order to discuss the recent status of the research in the field and to direct its further developments.
Basic research papers as well as application papers are welcome. All kinds of applications are welcome, but special preference will be given to multimedia related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics:

applications of clustering
applications in medicine
aspects of data mining
autoamtic semantic
annotation of media content
Bayesian models and methods
conceptional learning and clustering
case-based reasoning and learning
classification and interpretation of images,
text, video classification and model
estimation case-cased ... and more

ICDAR'2009

We are pleased to announce that the Tenth International Conference on Document Analysis and Recognition (ICDAR'2009), sponsored by the International Association for Pattern Recognition (IAPR) TC-10 (Graphics Recognition) and TC-11 (Reading Systems) will be held at the Universitat Autònoma de Barcelona, Catalonia, Spain during July 26-29, 2009. ICDAR is an outstanding international forum for researchers and practitioners at all levels of experience for identifying, encouraging and exchanging ideas on the state-of-the-art in document analysis, understanding, retrieval, and performance evaluation, including various forms of multimedia documents.

The topics of interest include, but are not limited to:
Character Recognition
Handwriting Recognition
Graphics Recognition
Document Image Analysis
Document Understanding
Document Analysis Systems
Basic Research and Methodologies for Document Processing
Camera-based Document Processing
Document Databases and Digital Libraries
Multimedia Documents
Sketching Interfaces
Performance Evaluation
Forensic Science
Analysis of Historical Documents
Applications

Paper Submission
Manuscripts of maximum five pages are encouraged to be submitted. Papers must describe original work on any of the ICDAR related topics. The format templates and instructions for paper submission will be available in the Conference web site. The deadline for paper submission is January 12, 2009.

WIAMIS 2009 Call for Papers

The International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) is one of the main international fora for the presentation and discussion of the latest technological advances in interactive multimedia services. The objective of the workshop is to bring together researchers and developers from academia and industry working in all areas of image, video and audio applications, with a special focus on analysis.

Topics of interest include, but are not limited to:
Multimedia content analysis and understanding
Content-based browsing, indexing and retrieval of images, video and audio
2D/3D feature extraction
Advanced descriptors and similarity metrics for audio and video
Relevance feedback and learning systems
Segmentation of objects in 2D/3D image sequences
Motion analysis and tracking
Video analysis and event recognition
Analysis for coding efficiency and increased error resilience
Analysis and tools for content adaptation
Multimedia content adaptation tools, transcoding and transmoding
Content summarization and personalization strategies
End-to-end quality of service support for Universal Multimedia Access
Semantic mapping and ontologies
Multimedia analysis for new and emerging applications
Multimedia analysis hardware and middleware
Semantic web and social networks
Advanced interfaces for content analysis and relevance feedback

Paper Submission
The intention is to publish the proceedings in the Springer's Lecture Notes in Computer Science Series and to make them available in IEEExplore. The authors are requested to send their submissions (4 pages double column in English). All submissions will be peer reviewed by at least three members of the technical program committee.Accepted papers will be distributed via the IEEE Xplore™. Papers must be formatted according to the IEEE Computer Society standards and their length must not exceed 4 IEEE double column style pages including all figures, tables, and references.

Important Dates:
Proposal for Special Session: November 21, 2008
Paper Submission: December 1, 2008
Notification of Acceptance: January 16, 2009
Camera-ready Papers: February 06, 2009

IAPR Pattern Recognition Resources web site

"We have recently completed the first round of development on the IAPR Pattern Recognition Education Resources web site:

http://homepages.inf.ed.ac.uk/rbf/IAPR/

This work was initiated by the Internation Association for Pattern Recognition (http://www.iapr.org/).
The goal was a web site that can support students, researchers and staff.
Of course, advances in pattern recognition and its subfields means that developing the site will be a never-ending process. However, we believe that the current site is
now well developed enough for general use.
What resources does the IAPR

Education web site have?
================

The most important resources are for students, researchers and educators. These include lists with URLs to:

- Tutorials and surveys
- Explanatory text
- Online demos
- Datasets
- Book lists
- Free code
- Course notes
- Lecture slides
- Course reading lists
- Coursework/homework
- A list of course web pages at many universities

There are many areas for extension in the web pages, but they already link to more than 3000 resources.

These resources are subdivided into five areas. Of course, the boundaries are never distinct and we undoubtedly will also provoke a few dissenting opinions. However, we have tried to address the main work done by the IAPR community, as clustered into 3 core technology areas and 2 broad families of application areas:

1. Symbolic Pattern Recognition
2. Statistical Pattern Recognition
3. Machine Learning
4. 1D Signal Analysis
5. Computer vision/Image Processing/Machine Vision

Acknowledgements
================

Initial website development was by Christos Papadopoulos and Apostolos Antonacopoulos. Content entry was Edinburgh University PhD students Kisuh Ahn, Edwin Bonilla, Lei Chen, Tim Hospedales, Gail Sinclair, and Narayanan Unny E, supervised by Bob Fisher. Content advice supplied by by the 2006-8 Education Committee: Bruce Maxwell, Sudeep Sarkar, Xiaoyi Jiang, Laurent Heutte and
Sergios Theodoridis. Funding was provided by the EC funded euCognition network, The British Machine Vision Association and the UK's EPSRC. "

Prof. Robert B. Fisher, School of Informatics, Univ. of Edinburgh