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 GROUP LLC

NOVOSIBIRSK, RUSSIA

DECEMBER 2011

COMPANY INFORMATION

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: [email protected]

+7 913 915 0887 (Russian)

Email: [email protected]

(C) KBK GROUP LLC - 2011 WWW.KBKGROUP.ORG

http://www.kbkgroup.org/



http://www.immenselab.com/

mailto:[email protected]

mailto:[email protected]

PROBLEMS 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.


INTELLECTUAL PROPERTY RIGHTS

• 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.

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

major features of retrieving the images from the databases.


WHAT IS NOVEL ABOUT THE

TECHNOLOGY?

Unique system of compact indexing of large databases.

High-performance ranked search of images by a pattern.

A user controls search accuracy and result set in real time.

A user selects a pattern and search criteria, controls 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.

Image

Search

Service

© KBK GROUP LLC - 2011 WWW.KBKGROUP.ORG

PROTOTYPE OF IMAGE

SEARCH SERVICE WWW. IMMENSELAB.COM







HOW DOES IT WORK? STEP 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. (C) KBK GROUP LLC - 2011 WWW.KBKGROUP.ORG


Active

search

result



You can go to

the web page

where source

image of the

search result

is located by

clicking on

source URL.


SOURCE PAGE OF SEARCH

RESULTS

A web page

where

source

image of the

search

result is

located


MULTIPLE SEARCH RESULTS

IN THE BUFFER

Multiple

search

results

stored in the

buffer


SEARCH METHODS

A panel with

search

methods


ON-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.


USER-CONTROLLED SEARCH

RESULTS

On-the-fly

search control

buttons: left-

hand button

and right-

hand button

of the control

slider


AUGMENTED SEARCH

Even blurred

& damaged

images can

be used as a

pattern to

find similar

images.

Search pattern window Active result window


SEARCHING FOR SIMILAR

IMAGES

By

increasing

inaccuracy

of search we

can manage

retrieval of

similar

images.


USER INTERFACE

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.


Sample search results

TESTS OF USER INTERFACE

SEARCH RESULTS: BIRDS IN

SIMILAR LAKE


SNAPSHOTS OF URBAN LANDSCAPES: A

LOOK FROM DIFFERENT ANGLES


SEARCH FOR SIMILAR

LANDSCAPES – WATERWAYS


SEARCH FOR ARCHITECTURAL

LANDMARKS


SEARCH FOR THE SAME PERSON(S)

DOING DIFFERENT THINGS


SEARCH FOR A CLUSTER OF

CARS


SEARCH FOR THE MOON AND

CANALS


SEARCH FOR SIMILAR CARS

SHOT FROM DIFFERENT ANGLES


SEARCH FOR SIMILAR CARS


SEARCH BY THE SAME OR

RAGGED OUTLINE


SEARCH FOR THE SAME

FRAGMENTS IN DIFFERENT

PICTURES


SEARCH FOR THE SAME

BACKGROUND


SEARCH FOR LANDSCAPES AT

NIGHT: DIFFERENT LIGHTS


WE ADDRESS B2B MARKET

Providers of Search services.

Social networks.

Internet retailers.

Photo sharing services.

Market size

Sales of shares in companies developing novel search systems return millions to dozen millions of US dollars.

Number of downloads of licenses covering particular search applications can vary from several dozens of thousands to hundreds of thousands downloads a month.

MARKETS

Software

components for

processing,

search and

analysis of

graphic data on

PCs and servers

of global

communication

networks.


COMMERCIAL POTENTIAL OF

THE TECHNOLOGY

Internet users,

News agencies and publishers,

Advertising agencies,

Social networks,

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.

Users /

Licensees


DEVELOPMENT STRATEGY

Development and promotion of proprietary Image Search Internet service as an ad and commercial platform in Internet to demonstrate the and attract potential users.

Co-operation with major strategic partners to launch and distribute the Image Search Software in international markets.

Selling software licenses independently and through existing distribution channels.

Three-tier

strategy:

• Internet

• Partnerships

• Sales


COMPETITORS

www.Tineye.com & www.gazopa.com – search of images similar to a pattern.

www.wesee.com, www.imprezzeo.com – claim they’ve got image search systems by content, however prototypes have not been demonstrated.

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.

Image

Search

Services


http://www.tineye.com/

http://www.gazopa.com/

http://www.wesee.com/

http://www.imprezzeo.com/

http://visual.images.yandex.ru/sights/

http://www.picsearch.com/





COMPETITIVE ADVANTAGES

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

Indexed databases can contain hundreds of billions of images.

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.

Particular

problems

which the

technology

solves


OTHER APPLICATIONS

Development of Green IT projects aimed at reduction of carbon footprint due to saving index storage space by order of 100.

Using technology with Cloud Computing will increase performance of search engines dramatically.

Mobile applications to develop mobile image search technologies. It cuts down traffic load considerably by working with small index databases.

Using

technology

advantages


THANK YOU! AND

HAVE A GOOD SEARCH!


image search by kbk group

Art & Photos

system of search

search methods kbk group

search engines

search criteria

image search system

c kbk group llc

buffer kbk group llc

controls accuracy of