Image Search by KBK Group

An Image Indexing and Search
System for Large Databases
Stored on PCs and in Corporate
and Global Communication
Networks

KBK G ROUP LLC
N OVOSIBIRSK , R USSIA

D ECEMBER 2011

C OMPANY I NFORMATION

 KBK Group LLC
 Address: PO Box 114, Novosibirsk, 630001, Russia
 Website (corporate): www.kbkgroup.org
 Website (prototype): www.immenselab.com
 Phone:
 + 7 913 891 0298 (English, French, German,
Italian, Serbian)
 Email: akvalex@gmail.com
 +7 913 915 0887 (Russian)
 Email: info@kbkgroup.org
(C) KBK GROUP LLC - 2011 WWW.KBKGROUP.ORG

P ROBLEMS ADDRESSED BY
TECHNOLOGY

 Problems of performance of search engines
when dealing with large databases of images.

 High demands for computing power.

 Users cannot control search results and have
to deal with millions of images.


• Rights to use indexing kernel and search engine through an exclusive license.
• Know-how covers
•algorithms and a system of search and retrieval of images from Internet,
•Web-Crawlers,

•a Client – Server system to process user queries.

I NTELLECTUAL P ROPERTY R IGHTS

• Patent application was filed with the Russian Patent Office to cover

major features of retrieving the images from the databases.


W HAT IS N OVEL ABOUT THE
T ECHNOLOGY ?
 Unique system of compact indexing of large databases.

 High-performance ranked search of images by a pattern.
Image
 A user controls search accuracy and result set in real time.
Search
 A user selects a pattern and search criteria, controls
Service accuracy of search and the system returns result set of
images ranked by their similarity to a pattern.

 Major innovation - multifunctional indexing when a single
index can simultaneously support a search by a multitude
of functions of different parameters of indexed images.

© KBK GROUP LLC - 2011 WWW.KBKGROUP.ORG

P ROTOTYPE OF I MAGE
S EARCH S ERVICE
WWW. IMMENSELAB . COM


H OW DOES IT WORK ? S TEP 1

A user uploads a
pattern to the Image
Search System

The Search System
returns identical
image if index
database contains it
or the most similar
if there is no
identical image in
the database.


Active
search
result



You can go to
the web page
where source
image of the
search result
is located by
clicking on
source URL.


S OURCE PAGE OF SEARCH
RESULTS

A web page
where
source
image of the
search
result is
located


M ULTIPLE SEARCH RESULTS
IN THE BUFFER

Multiple
search
results
stored in the
buffer


S EARCH METHODS

A panel with
search
methods


O N - THE - FLY SEARCH
ACCURACY CONTROL

By adjusting
search
accuracy (by
moving a
slider) a user
gets different
number of
search
results which
are similar to
the pattern.


U SER - CONTROLLED SEARCH
RESULTS

On-the-fly
search control
buttons: left-
hand button
and right-
hand button
of the control
slider


A UGMENTED SEARCH

Search pattern window Active result window

Even blurred
& damaged
images can
be used as a
pattern to
find similar
images.


S EARCHING FOR SIMILAR
IMAGES

By
increasing
inaccuracy
of search we
can manage
retrieval of
similar
images.


U SER I NTERFACE

 User interface contains an array of sliders
and menus.

 Sliders and menus allow a user to select
different options for a search and adjust the
range of accuracy/inaccuracy of search.

 A user can change the settings and get
different query results in real time.


T ESTS OF U SER I NTERFACE
Sample search results

S EARCH R ESULTS : B IRDS IN
SIMILAR LAKE


S NAPSHOTS OF U RBAN L ANDSCAPES : A
LOOK FROM DIFFERENT ANGLES


S EARCH FOR S IMILAR
L ANDSCAPES – WATERWAYS


S EARCH FOR A RCHITECTURAL
L ANDMARKS


S EARCH FOR THE SAME PERSON ( S )
DOING DIFFERENT THINGS


S EARCH FOR A C LUSTER OF
C ARS


S EARCH FOR THE MOON AND
CANALS


S EARCH FOR S IMILAR CARS
SHOT FROM DIFFERENT ANGLES


S EARCH FOR SIMILAR CARS


S EARCH BY THE SAME OR
RAGGED OUTLINE


S EARCH FOR THE SAME
FRAGMENTS IN DIFFERENT
PICTURES


S EARCH FOR THE SAME
BACKGROUND


S EARCH FOR L ANDSCAPES AT
NIGHT: DIFFERENT LIGHTS


WE ADDRESS B2B MARKET

 Providers of Search services.
MARKETS
Software  Social networks.
components for  Internet retailers.
processing,
 Photo sharing services.
search and
analysis of Market size
graphic data on
 Sales of shares in companies developing novel search
PCs and servers systems return millions to dozen millions of US dollars.
of global
 Number of downloads of licenses covering particular
communication search applications can vary from several dozens of
networks. thousands to hundreds of thousands downloads a month.


C OMMERCIAL P OTENTIAL OF
THE T ECHNOLOGY

 Internet users,

 News agencies and publishers,

 Advertising agencies,
Users /  Social networks,

Licensees  Mobile apps developers,

 Patent offices and patent attorney firms,

 Security companies,

 Large museums and archives,

 Movie distributors

 Other owners of archives, photo and graphic databases.


D EVELOPMENT STRATEGY

 Development and promotion of proprietary
Three-tier Image Search Internet service as an ad and
strategy: commercial platform in Internet to
demonstrate the and attract potential users.
• Internet
 Co-operation with major strategic partners to
• Partnerships
launch and distribute the Image Search
Software in international markets.
• Sales
 Selling software licenses independently and
through existing distribution channels.


C OMPETITORS

 www.Tineye.com & www.gazopa.com – search of
images similar to a pattern.
 www.wesee.com, www.imprezzeo.com – claim
Image they’ve got image search systems by content,
Search however prototypes have not been demonstrated.

Services  Google Goggles and Google Chrome search by a
pattern.
 http://visual.images.yandex.ru/sights/ - Yandex
visual search.
 www.picsearch.com – image search by tags.


C OMPETITIVE A DVANTAGES

 Compact indexing: Innovation indexes used by the system
are 100 times more compact that B-Tree indexes and
Particular provide 100 times higher retrieval rate than B-Tree
problems indexes.

which the  Indexed databases can contain hundreds of billions of
images.
technology
solves  A user controls the search, i.e. he/she selects criteria
before the search (colour, outline, tag, etc.).

 High performance ranked (i.e. building a line of results
depending on similarity rate) image search by a pattern
with accuracy/inaccuracy controlled by a user in real time.

O THER APPLICATIONS

 Development of Green IT projects aimed at
reduction of carbon footprint due to saving
index storage space by order of 100.
Using
 Using technology with Cloud Computing will
technology
increase performance of search engines
advantages dramatically.
 Mobile applications to develop mobile image
search technologies. It cuts down traffic load
considerably by working with small index
databases.

T HANK YOU ! A ND

H AVE A GOOD SEARCH !


Image Search by KBK Group

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (19)

Similar to Image Search by KBK Group

Similar to Image Search by KBK Group (20)

Recently uploaded

Recently uploaded (20)

Image Search by KBK Group