``The
perception-based technologies recently developed by
VIMA have made marked strides in enhancing the accuracy
and speed on multimedia information retrieval. In particular,
VIMA's inventions in learning algorithms, perceptual
distance functions, and indexing methods have given
the company significant lead over the other players
in the field.´´
Dr. Yong Rui
Scientist
Microsoft Research |
VIMA Search
VIMA Search is software that opens up a new way for people to
search for and manage multimedia content visually. Based
on our patented perception-based image retrieval (PBIR) core technology,
VIMA Search allows users to find images from large image collections
in just a few seconds by clicking on sample images dynamically
suggested by the system. Using a multi-modality approach
that incorporates complex image features, textual hints, and 'learning'
algorithms, VIMA Search offers the most accurate and efficient
image search engine on the market. Its innovative approach
to image matching can be leveraged across several market categories,
including image search, classification, and recognition.
Increase Revenues
Industry research reveals that approximately $13 billion was lost by online
businesses last year, due to frustrated customers not being able to find
what they were looking for. VIMA Search can help to eliminate this problem
for your company by giving your customers a way to search for your products
quickly, easily and accurately. A better, faster search results in more sales
and higher revenues.
Boost Customer Satisfaction
Aside from increasing your sales-per-search ratio, installing VIMA Search will
help keep your users satisfied and returning to your site. By allowing a
new, effective way for people to find what they're looking for, VIMA eliminates
the frustration created by the limitations of traditional search capabilities.
And, if your customers are pleased, they'll provide you with good references
and referrals to help your online business grow..
Provide a Personalized User Experience
VIMA Search uses both positive and negative feedback from a user to learn his/her
preferences. Because each person is looking for something different, the
search engine will provide each with a different set of results that best
match his/her criteria - something other companies can't do.
VIMA Search Features
Easy Installation and Maintenance
VIMA Search's high-dimensional indexer allows for quick, simple system integration
and expansion.
- Is easily applied to existing image databases; indexes pictures
automatically
- Multimodal capability allows seamless incorporation with current
text-search functionality
- New images can be added to the system within seconds
- Easily scalable for increases in image database size and complexity
Highly Accurate
Use of Perception-Based Image Characterization makes VIMA Search the highest-quality
image search engine available.
- Patented technologies use artificial intelligence to analyze
150+ parameters for faster and more precise results
- Extensive feature database makes for more accurate matching
of images to preferences
- Uses cognitive psychology theories to make pairing more "natural
and intuitive," closer to what users want
Adaptable and Efficient
Revolutionary intelligent learning algorithms and sampling process enable VIMA
Search to understand users' target image characteristics quickly and easily.
- Requires minimum number of iterations (user feedback) to return
accurate results
- Can pinpoint user preferences quickly - no need to specify
text or select particular features (color, texture, etc) - just
point and click
- Easily handles changes in concept preferences and/or complexity
- even in mid-search
Customizable
Multimodal query support means VIMA Search is appropriate for all image databases,
regardless of specifics.
- Handles three different seeding modes for search initiation
- seed-by-keyword, seed-by-content, seed-by-nothing
- Operates on several levels, including text-based, content-based,
or a combination of both
- Can be adapted to handle different languages for easy international
application
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