Improved video surveillance and customer relations management through efficient data representation.
Submitting Institution
University of StrathclydeUnit of Assessment
Computer Science and InformaticsSummary Impact Type
TechnologicalResearch Subject Area(s)
Information and Computing Sciences: Artificial Intelligence and Image Processing, Data Format, Information Systems
Summary of the impact
Research on data compression produced novel algorithms that optimise the
use of bandwidth and processing power. This research has led to the
establishment of a product line that applies these algorithms to video
surveillance software, marketed by Digital Barriers plc. Since 2008 this
compression technology has allowed the company to grow from 8 to 41 staff
and increase revenue from £800K to £6M in 2013. The novelty and usefulness
of the data compression research was also appreciated by ThinkAnalytics
plc. This led the company to the optimal design for data compression in
their recommender system, which is currently being supplied to 130M cable
TV customers making the product the most deployed content recommendation
system in the market.
Underpinning research
Context: Between 1994 and 1996, Wilson was engaged in research on
novel data compression algorithms with Cockshott, McGregor and Fryer,
funded by EPSRC [5]. They proposed a new approach to data systems
architecture that focused on optimising bit representation of real-world
entities [1,3]. Using this approach, a compressed data representation can
be tailored to data manipulation requirements in different domains. The
architecture was implemented in the context of database and video
compression, and measurements of performance were compared to those of
other high-performance systems. Speed of retrieval was increased (by one
to five orders of magnitude), and the same or slightly faster performance
during insertion and compression of data was achieved for database
systems. At the same time, about a 10-fold compression in data volume was
also recorded. To address the domain of video compression, a codebook
approach was developed to minimise data transfer. This provides
significantly higher quality images than JPEG at the same compression
ratio [2]. The resultant architecture was thus more cost effectiveness
than conventional approaches and suitable for data intensive tasks such as
transmitting video over mobile networks.
Key findings: The fundamental finding of the research
focused on the advantage to be gained by minimising the bit representation
in data-intensive systems, whilst at the same time preserving sufficient
organisation in the data to enable it to be processed in its compressed
form without having to first decompress the entire structure.
In the context of database systems, this design principle is translated
into the representation of data in minimal bit dictionaries. Each entry in
the dictionary consists of a lexeme (the text to be stored in the
database) and a token (an integer with the minimum number of bits needed
to identify the lexeme). Thereafter the token is stored in the database in
place of every occurrence of the lexeme. This exploits the redundant
occurrence of text and makes the database searchable on the tokens, with
only the results being translated back into lexemes. Both European (1997)
and US patents (2001) were secured to protect this technology [6,7].
The same principle of minimal bit representation in the context of video
compression is realised in the use of codebooks to represent an image.
This approach divides an image into a pattern of smaller blocks. The
blocks are then represented by a minimal bit token and it is the token
that is transmitted when the image changes, rather than the complete
codebook. In video images where there is little change, this process
results in faster transmission since although the codebook needs to be
transmitted once, subsequent movement can be displayed based on the
transmission of minimal bit tokens [4]. The work was developed into a US
patent in 2000 [8].
Key Researchers: The research was carried out in the
Department of Computer Science, University of Strathclyde by: Douglas
McGregor (Professor 01/03/82 - 30/04/09), Richard Fryer (Senior Lecturer
01/03/86 - 31/03/09), Paul Cockshott (Lecturer 01/04/93 - 13/02/98) and
John Wilson (Lecturer 01/02/1986 - present).
References to the research
References 1-3 best indicate the quality of this work.
[1] W.P. Cockshott, D.R.M. McGregor and J.N. Wilson (1998). High
performance architectures using a compressed database architecture.
Computer Journal. 41(5): 283-296. doi 10.1.1.107.4726
[2] W. P. Cockshott and R. Lambert (1999). Algorithm for hierarchical
vector quantisation of video data. IEE Proceedings - Vision, Image and
Signal Processing, 146(4): 222-228. doi 10.1049/ip-vis:19990443
[3] W.P.Cockshott, D.R.McGregor, N. Kotsis and J.N.Wilson, (1998). Data
compression in database systems, Proc. IDEAS'98. pp.111-120, doi:
10.1109/IDEAS.1998.694365
[4] R.Lambert, R.J.Fryer, W.P.Cockshott and D.R.McGregor. (1996). Low
bandwidth video compression with variable dimension vector quantisation.
In Proc. ADVICE 96 doi 10.1.1.56.4560
Other evidence for quality of research
[1] Computer Journal is graded A* in the ERA journal evaluation. It ranks
in the top 8% (rating 70) of Computer Science journals in Microsoft
Academic Search. [2] This paper is published in a fully refereed journal
with a rating of 33 in Microsoft Academic Search. [3] IDEAS is a fully
refereed, B rated conference on the ERA conference ranking and is in the
top 13% of database conferences as ranked by Microsoft Academic Search.
[4] This is a fully refereed conference. The paper was submitted in RAE
1996.
Research funding and patents:
5. D.R.McGregor, W.P.Cockshott and J.N.Wilson. Implementation of RAM/RAID
for high performance databases relational data. EPSRC GRANT GR/J92170
1994-1996, value £150,694.
6. D.R.McGregor, W.P.Cockshott, J.N.Wilson. (1997). Databases.
International Patent Number WO 1997/032263.
7. D. R. McGregor, W.P. Cockshott, J.N. Wilson (2001). Databases, US
Patent Number 6169990.
8. W.P.Cockshott, D.R.McGregor, R.J. Fryer, and R.B. Lambert. (2000).
Data Compression. U.S. Patent 6049632.
Details of the impact
Process/events from research to impact:
The underpinning research on data compression has been commercially
adopted in two areas
1. Customer relations analysis and product recommender support
(ThinkAnalytics)
2. Video surveillance (Digital Barriers)
The idea of entropy coding in which data is represented by minimal bit
collections emerged from research at Strathclyde. During the process of
patenting the database aspects of this work, contact was made between
McGregor and Mr Tim Jones of Planning Sciences plc. and this led to the
licensing of the patent by Planning Sciences. Between 1993 and 2000,
Planning Sciences' technical products and know-how were successively
transferred to Gentia Software plc., K.wiz Solutions and then to
ThinkAnalytics Corporation. The patent was used in K.wiz (the commercial
name of K.wiz Solution's main product) as the basis for internal data
storage (1998). In this way, the output from research on database
compression was transferred to the K.wiz product. In 2002, the K.wiz
software was reorganised by ThinkAnalytics to expand its functionality.
The reorganised software was influenced by implementation experience
gained from the patent. The design preserved the dependence of the system
on an internal data store using techniques informed by the Strathclyde
data compression research programme. K.wiz was reused by ThinkAnalytics as
the basis of recommender software (Think RE, Source A). This suite of
programs is currently (2013) in use by ThinkAnalytics for providing
consumer-directed recommendations based on patterns found within TV
viewing data. The experience of implementing the compressed data store
provided direction during implementation of data handling in Think RE
(Source A).
In parallel with the exploitation of database research, the novel entropy
coded video compression research led to the construction of a University
Spin-off company, Essential Viewing Systems Ltd in 1999. The aim of this
company was to commercialise the principle that video compression can be
achieved by the use of a codebook of image primitives that resides with
both the encoder and decoder. Essential Viewing Systems Ltd was a
successful operator in the area of video surveillance until it was taken
over in 2011 by Digital Barriers plc. The video compression research at
Strathclyde was used to design Essential Viewing's product and
subsequently Digital Barrier's remote surveillance system called Tactical
Visual Intelligence (TVI) (Source C).
1. Adoption of technology for customer relations analysis and product
recommender support:
The Think RE software suite developed by ThinkAnalytics is used
particularly for providing customer relations analysis and product
recommender support to cable TV networks and broadcasters. In this
context, it monitors usage patterns and can provide the basis for advice
to consumers on optimising their experience of televised entertainment.
ThinkAnalytics' recommender engine is currently (2013) the basis of the
software that is offered by the company. ThinkAnalytics' Recommendation
Engine is marketed directly to broadcasters and cable TV operators and has
more than 50 such customers worldwide including Liberty Global, Cox
Communications, BSkyB and Virgin Media. Through these intermediaries,
Think RE provides a service to more than 130 million end users in over 16
countries, making ThinkAnalytics the world leader in this area and Think
RE the most deployed Content Recommendations Engine in the market. (Source
A confirms all claims relating to the company.)
Benefits to Customers: Customer relations analysis benefits
consumers by ensuring that services that are offered to them can be
closely tailored to their personal taste. Personalisation benefits such as
these are not available without the software to support the analysis of
large data collections. Service providers supported by Think RE report a
significant increase in Video on Demand and live TV usage as a consequence
of deploying the system. The software helps end-users to discover material
that they would be unlikely to find on their own.
Benefits to the company: ThinkAnalytics has the largest market
share for customer relations management software that supports cable TV
customers (Source A). The company was nominated as provider of the Best TV
Experience Enhancement in 2013 by the TV Connect Industry Awards. The
ThinkAnalytics Recommendations Engine won the 2013 Best Video Discovery
Service award at the Streaming Media European Readers' Choice Awards.
Typical competitors include Viaccess-Orca (16 million subscribers) and
TiVo (3 million subscribers) both with significantly smaller user
communities than ThinkAnalytics. The Think RE engine makes possible the
combination of data sources such as Video on Demand, broadcast TV, the
Web, and social media to provide an improved end-user experience in the
context of recommending entertainment material. Multilingual support is
provided in 17 different languages. Successful deployment of Think RE
enabled ThinkAnalytics to double its revenue and profit in 2012 (Source
B).
2. Adoption of the technology for video surveillance: Video
surveillance is an important means of observing industrial and medical
processes as well as having impact on the monitoring of human behaviour.
Increase in the usage of such systems presents a challenge for data
transmission. The video compression developed by the University of
Strathclyde spin out company Essential Viewing facilitates the sending of
video images over IP networks. This makes transmission easier since such
networks are widely available, and this provides the key advantage of
Digital Barrier's TVI product (Source D). The compression approach is
particularly suited to transmission over Wi-Fi or 3G connections in real
time, providing higher quality video than would otherwise be possible. In
the context of surveillance systems, the video compression approach is
essential to prevent streaming from exceeding bandwidth limitations, which
can result in the loss of potentially important frames. Digital Barriers
has expanded its range to include new products with new capabilities and
to extend their overseas sales reach.
Since 2009 Digital Barriers' has been providing hardware and software
solutions into the UK, and increasingly into global markets under the
brand name of TVI. The video compression concepts developed during
research at Strathclyde are currently used in Digital Barrier's TVI
product to support transmission of high quality video images over
low-bandwidth networks.
Benefits to Customers: In marketing their data compression-based
video surveillance product, Digital Barriers concentrate their commercial
effort on 20 major customers including governments and big international
companies. Within the UK, every police force uses the TVI products for
operations including mobile traffic enforcement, community safety, driver
training and dashboard cameras in patrol cars (Source C). In addition to
national law enforcement agencies, the MoD are also customers and the
equipment capability is viewed as world class when compared to offerings
by other suppliers (Source C). There are more than 3000 end-users of TVI.
This product has now been deployed in more than 40 countries across the
globe, providing world class technology for law enforcement, government
and military customers by supplying protective surveillance capabilities
(Source C).
Benefits to the company: Essential Viewing Systems Ltd was
acquired by Digital Barriers plc. for £3.4M in March 2011. Digital
Barriers are a UK business created in 2009 and listed on the London Stock
Exchange (Aim market) in 2010. Since 2008 the number of staff employed in
this company has grown to 41. Revenues from Digital Barriers have
continued to expand, growing from £1.3M in 2010, when the company first
reached profitability through to £6M in the year to March 2013. The future
for the business looks bright, as the reach of Digital Barriers has
allowed sales to increase into an increasing number of countries with
revenues set to grow further in 2013 and beyond (Source E). This growth
has also been facilitated by incorporation of the video compression
technology into the wider Digital Barriers' product architecture
Benefits to the local economy: In addition to the growth in the
engineering aspects of Digital Barriers' enterprise, many of the back
office functions for the company such as Finance, Operations and
Manufacturing are being co-located within the Glasgow office, building on
the capabilities already provided by the Essential Viewing Systems team
and leveraging the manufacturing expertise in Scotland (Source C). All of
the products are manufactured in the UK with many of these being
manufactured in Scotland and utilising the expertise within the UK
manufacturing base in electronics (Source C).
Sources to corroborate the impact
A. Statement provided by Director and Chief Technology Officer at
ThinkAnalytics supports the claim that the patented database compression
technology developed at Strathclyde was used as the basis of KWiz and that
this experience directly informed the development of customer relations
analysis software. The statement further confirms that the CRA suite forms
the basis of the Recommendation Engine product, the extent of usage of
this product and the consequent global dominance of ThinkAnalytics in
entertainment recommendations.
B. The news release available at http://www.thinkanalytics.com/newsAndEvents/pr210813.html
supports the claims that Think RE contributed to a doubling of profits at
ThinkAnalytics in the year 2011-2012; the system has the largest market
share in the field and that usage of entertainment material increases as a
consequence of deploying the system.
C. Statement provided by Director, Advanced Technologies at Digital
Barrier's supports the claims that Essential Viewing exploited the
compression research programme at Strathclyde; Essential viewing was taken
over by Digital Barriers; Digital Barriers are using the compression
process in their current product range; the size of the customer base for
Digital Barrier's products that use compression; the technical importance
of video compression in Digital Barrier's product range.
D. http://www.digitalbarriers.com/tvi/
- Digital Barriers TVI products
E. http://www.digitalbarriers.com/news/company/digital-barriers-issues-trading-update/
Digital Barriers revenues and sales