2008
IT 领域革命性的技术突破 -- 惊爆的商业机会就在眼前
|
技术简述
迄今为止,全世界包括各搜索引擎巨头们都还在为无法实现真正意义上的,有实用价值的网上图像性搜索而着急和发愁. 原因是图像本身的巨大的信息量延迟了搜索的速度,使其无法达到实际应用速度和精度的要求......
如今我们有了!!! 提速达100倍以上！精度达97%以上！世界领先！
在世界著名科学家,美国犹他州立大学终身教授,世界信息技术联合大会主席承恒达博士的领导下的科研团队,长期以来在世界范围内于模式识别,图像处理技术领域位居前沿，其技术领先程度远远高于竞争对手们.
我们的技术创新在工业界有着广泛的应用. 近期，承教授的最新科研成果采用了世界上最领先的图象处理和识别技术, 极大地提高了搜索速度和精度,
从而使得在互联网上以图像本身为描述手段的对图像进行搜索成为现实.
商业描述
下一步是技术的广泛的应用推广。以我们的核心技术为基础, 可以针对不同的网站开发出不同的图像搜索引擎。如：
- 为鞋类销售网站提供产品图像搜索引擎，使得顾客可以通过上传脚及鞋的相片在网站中找出满意的产品;
- 为时装类销售网站开发的图像搜索引擎，可以使顾客通过上传颜色，花色，式样等相片在网站中找出满意款式及尺寸的产品；
- 为房地产网站做出形状, 颜色，环境，内装修等元素的搜索引擎，可以使顾客根据相片搜索房屋住宅;
- 为交友网站开发的图像搜索引擎，提供以上传的相片脸型，体型为目标的侯选人；
- 为医学界开发的图像搜索引擎，可以使微观世界变得可以识别和计量。
- 等等...... 可以服务的领域不一而足。
|
这是一个本世纪初 IT 领域的革命性的技术突破且有着无法估计的广泛应用前景，目前急待与广大的工商业界见面和被利用起来
（请回忆与思考一下10 年来 Google 谷歌是怎么起步和爆炸性发展的吧）。如今我们这一技术团队所面临的不是技术上的不可逾越的障碍，而是如何多，快，好，省的将这一技术推广到市场中去。此一商机给予各行各业的有志创业者们无穷的想象和参与创业的空间,
在这里我们呼吁和衷心的希望各行各业的有志创业的朋友们参与到我们的创业中来，成为我们的商业伙伴，将这一技术在各个领域全面推广开来。您可以是终端客户，可以是项目承包人，或是中介人，我们欢迎任何方式的商业合作。让我们抓住商机，拓展市场，共享其利！
我们所面临的机遇是又一个Google (谷歌)的商机！
这是一个互联网狂潮中的新巨浪。花 3 年太久，拼只争朝夕！愿我们1年后没有巨大的坐失良机的遗憾！让那些在梦境中等待机遇的人们去望洋兴叹......
阿拉灯有，看谁来擦?!
(核心技术论文发表于2007年6月第10届国际计算机科学与信息大会)
Business
Opportunities
- Affiliate Program
– We welcome everyone including medical doctors,
radiologist, patient, marketer, sales, insurance
agencies and etc. to join us to become our commission
based affiliates or business partners.
- Technical Cooperation–
We also welcome any project opportunities which
we may be the support with our technology know-how.
- Investment and investors
are also welcome to participate in our world-class
business opportunities (at below).
|
Business
Projects
Introduction
of a Novel Image Search Engine Technology
(A multi-million-dollar business opportunity) |
It may set him on the road to a commercial
product that can compete against such giants as Yahoo and
Google, both of which offer image search engines. Oddly
enough, most available search engines currently look at
the Website address of an image and associated text, but
they are NOT searching the actual image, so that's the problem
Hengda Cheng Ph. D is solving.
Who is who?
Abstract **
Hengda Cheng Ph. D
– Author of 250 technical papers, is the co-editor
of the book, Pattern Recognition: Algorithms, Architectures
and Applications, and the editor of four conference proceedings.
– General Chairman of JCIS (Joint Conference of Information
Sciences)
– Dr. Cheng has been listed Who’s Who in the
World, Who's Who in America, Who's Who in Communications
and Media, Who's Who in Science and Engineering
– Ph.D. in Electrical Engineering from Purdue University
In the latest image search technology,
Dr. Hengda Cheng had led his research group proposed a novel
color space which can describe the images more effectively,
and a novel dominant feature which can represent the images
more accurately and efficiently. (This last technology was
announced at the 10th International Conference on Computer
Science & Informatics in June 2007. http://www.jcis.org/track/csi/callforpaper.asp)
It is used that as a critical point for developing the new
kind of image search engine which improved the accuracy
up to 95% from the world high of less than 70% and searching
speed improved 100 times from the world speed in 2007.
His hope is to have one image search engine running and
open to the public as soon as possible. Revenue would be
generated from many channels:
- By paid advertisements which could list out at the left
side and top of the page in response very much accurately
to a certain image search, much better to the advertisers
on targeting potential consumer group the way Google generates
its earnings today or even better (Actually there are many
ways from Internet marketing perspective).
- From supporting the wide market needs of varieties of
industrial applications for their image based search engines.
(i.e. real estate house matching, merchandise image matching,
dating service face and figure matching, micro calcification
matching used in breast cancer auto detection system, object
image matching for military battle field and etc.)
The next step will be to build an image search engine prototype,
in partnership with investors, business partners taking
the first step toward establishing a startup company, selling
the intellectual property out or any possible ways of transferring
his IP into capital. In one word, to commercialize his technology
in anyway may be found to serve the public needs.
Dr. Cheng is currently also looking for new project contracts
in his various focal areas for his research project and
commercialization*.
* The focal areas for Dr. Cheng’s
research and project commercialization
- Criteria-based image search engine.
- High Performance System for Detecting Microcalcification
Clusters in Mammograms Using Fuzzy Logic and Wavelet (attachment).
- Real-time Pavement Distress Detection System developed
in conjunction with the U.S. Transportation Research Board
and the Utah Department of Transportation. Results of the
product evaluation concluded that this system is faster
and more accurate than competing products.
- Biometric Security related applications: This emerging
market presents substantial opportunities for the algorithm
technology in facial recognition, fingerprint and retinal
scanning.
- Etc.
** Biography
of Hengda Cheng Ph.D
|