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Closed Circuit TeleVision (CCTV) cameras have been increasingly
deployed pervasively in public spaces including retail centres and
shopping malls. Intelligent video analytics aims to automatically
analyze content of massive amount of public space video data and
has been one of the most active areas of computer vision research
in the last two decades. Current focus of video analytics research
has been largely on detecting alarm events and abnormal behaviours
for public safety and security applications. However, increasingly
CCTV installations have also been exploited for gathering and
analyzing business intelligence information, in order to enhance
marketing and operational efficiency. For example, in retail
environments, surveillance cameras can be utilised to collect
statistical information about shopping behaviour and preference for
marketing (e.g., how many people entered a shop; how many
females/males or which age groups of people showed interests to a
particular product; how long did they stay in the shop; and what
are the frequent paths), and to measure operational efficiency for
improving customer experience. Video analytics has the enormous
potential for non-security oriented commercial applications. This
book presents the latest developments on video analytics for
business intelligence applications. It provides both academic and
commercial practitioners an understanding of the state-of-the-art
and a resource for potential applications and successful practice.
Consumer electronics (CE) devices, providing multimedia
entertainment and enabling communication, have become ubiquitous in
daily life. However, consumer interaction with such equipment
currently requires the use of devices such as remote controls and
keyboards, which are often inconvenient, ambiguous and
non-interactive. An important challenge for the modern CE industry
is the design of user interfaces for CE products that enable
interactions which are natural, intuitive and fun. As many CE
products are supplied with microphones and cameras, the
exploitation of both audio and visual information for interactive
multimedia is a growing field of research. Collecting together
contributions from an international selection of experts, including
leading researchers in industry, this unique text presents the
latest advances in applications of multimedia interaction and user
interfaces for consumer electronics. Covering issues of both
multimedia content analysis and human-machine interaction, the book
examines a wide range of techniques from computer vision, machine
learning, audio and speech processing, communications, artificial
intelligence and media technology. Topics and features: introduces
novel computationally efficient algorithms to extract semantically
meaningful audio-visual events; investigates modality allocation in
intelligent multimodal presentation systems, taking into account
the cognitive impacts of modality on human information processing;
provides an overview on gesture control technologies for CE;
presents systems for natural human-computer interaction, virtual
content insertion, and human action retrieval; examines techniques
for 3D face pose estimation, physical activity recognition, and
video summary quality evaluation; discusses the features that
characterize the new generation of CE and examines how web services
can be integrated with CE products for improved user experience.
This book is an essential resource for researchers and
practitioners from both academia and industry working in areas of
multimedia analysis, human-computer interaction and interactive
user interfaces. Graduate students studying computer vision,
pattern recognition and multimedia will also find this a useful
reference.
As cameras become more pervasive in our daily life, vast amounts of
video data are generated. The popularity of YouTube and similar
websites such as Tudou and Youku provides strong evidence for the
increasing role of video in society. One of the main challenges
confronting us in the era of information technology is to -
fectively rely on the huge and rapidly growing video data
accumulating in large multimedia archives. Innovative video
processing and analysis techniques will play an increasingly
important role in resolving the difficult task of video search and
retrieval. A wide range of video-based applications have benefited
from - vances in video search and mining including multimedia
information mana- ment, human-computer interaction, security and
surveillance, copyright prot- tion, and personal entertainment, to
name a few. This book provides an overview of emerging new
approaches to video search and mining based on promising methods
being developed in the computer vision and image analysis
community. Video search and mining is a rapidly evolving discipline
whose aim is to capture interesting patterns in video data. It has
become one of the core areas in the data mining research community.
In comparison to other types of data mining (e. g. text), video
mining is still in its infancy. Many challenging research problems
are facing video mining researchers.
Closed Circuit TeleVision (CCTV) cameras have been increasingly
deployed pervasively in public spaces including retail centres and
shopping malls. Intelligent video analytics aims to automatically
analyze content of massive amount of public space video data and
has been one of the most active areas of computer vision research
in the last two decades. Current focus of video analytics research
has been largely on detecting alarm events and abnormal behaviours
for public safety and security applications. However, increasingly
CCTV installations have also been exploited for gathering and
analyzing business intelligence information, in order to enhance
marketing and operational efficiency. For example, in retail
environments, surveillance cameras can be utilised to collect
statistical information about shopping behaviour and preference for
marketing (e.g., how many people entered a shop; how many
females/males or which age groups of people showed interests to a
particular product; how long did they stay in the shop; and what
are the frequent paths), and to measure operational efficiency for
improving customer experience. Video analytics has the enormous
potential for non-security oriented commercial applications. This
book presents the latest developments on video analytics for
business intelligence applications. It provides both academic and
commercial practitioners an understanding of the state-of-the-art
and a resource for potential applications and successful practice.
As cameras become more pervasive in our daily life, vast amounts of
video data are generated. The popularity of YouTube and similar
websites such as Tudou and Youku provides strong evidence for the
increasing role of video in society. One of the main challenges
confronting us in the era of information technology is to -
fectively rely on the huge and rapidly growing video data
accumulating in large multimedia archives. Innovative video
processing and analysis techniques will play an increasingly
important role in resolving the difficult task of video search and
retrieval. A wide range of video-based applications have benefited
from - vances in video search and mining including multimedia
information mana- ment, human-computer interaction, security and
surveillance, copyright prot- tion, and personal entertainment, to
name a few. This book provides an overview of emerging new
approaches to video search and mining based on promising methods
being developed in the computer vision and image analysis
community. Video search and mining is a rapidly evolving discipline
whose aim is to capture interesting patterns in video data. It has
become one of the core areas in the data mining research community.
In comparison to other types of data mining (e. g. text), video
mining is still in its infancy. Many challenging research problems
are facing video mining researchers.
Consumer electronics (CE) devices, providing multimedia
entertainment and enabling communication, have become ubiquitous in
daily life. However, consumer interaction with such equipment
currently requires the use of devices such as remote controls and
keyboards, which are often inconvenient, ambiguous and
non-interactive. An important challenge for the modern CE industry
is the design of user interfaces for CE products that enable
interactions which are natural, intuitive and fun. As many CE
products are supplied with microphones and cameras, the
exploitation of both audio and visual information for interactive
multimedia is a growing field of research. Collecting together
contributions from an international selection of experts, including
leading researchers in industry, this unique text presents the
latest advances in applications of multimedia interaction and user
interfaces for consumer electronics. Covering issues of both
multimedia content analysis and human-machine interaction, the book
examines a wide range of techniques from computer vision, machine
learning, audio and speech processing, communications, artificial
intelligence and media technology. Topics and features: introduces
novel computationally efficient algorithms to extract semantically
meaningful audio-visual events; investigates modality allocation in
intelligent multimodal presentation systems, taking into account
the cognitive impacts of modality on human information processing;
provides an overview on gesture control technologies for CE;
presents systems for natural human-computer interaction, virtual
content insertion, and human action retrieval; examines techniques
for 3D face pose estimation, physical activity recognition, and
video summary quality evaluation; discusses the features that
characterize the new generation of CE and examines how web services
can be integrated with CE products for improved user experience.
This book is an essential resource for researchers and
practitioners from both academia and industry working in areas of
multimedia analysis, human-computer interaction and interactive
user interfaces. Graduate students studying computer vision,
pattern recognition and multimedia will also find this a useful
reference.
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