Vanguard of Digital Signage

2008年10月29日 星期三

digital out-of-home 市場狀況與預測

Research: DOOH to grow to more than $2 billion this year

• 28 Oct 2008

STAMFORD, Conn. — Despite severe economic headwinds and declining traditional advertising spending, the U.S. digital out-of-home media industry is on pace to grow 11.2 percent to $2.43 billion in 2008, according to research released today by PQ Media, a provider of media econometrics. While the industry's growth this year will decelerate from 24.5 percent in 2007, PQ Media forecasts digital OOH spending in the U.S. to grow at a compound annual rate of 12.9 percent from 2007 to 2012. --> 美國市場

In its first foray into the global digital OOH market, PQ Media found that spending worldwide will grow 12.8 percent to $6.11 billion in 2008, slowing from 22.6 percent last year(2007), but is forecast to expand 14.5 percent from 2007 to 2012. The U.S. accounts for nearly 40 percent of global digital OOH spending, but its share will decline over the next several years, according to Global Digital Out-of-Home Media Forecast 2008-2012. Key international growth markets include Russia, India, China, Brazil and Australia, among others, which will benefit from major trends such as emerging market potential for operators, greater brand acceptance, advanced technology and new measurement systems.

U.S. spending on video ad networks, the largest segment, is on track to expand 8.1 percent in 2008 and will decelerate in 2009 before returning to double-digit growth in 2010, according to the report. Digital billboards remain the fastest-growing segment, albeit slower in 2008, posting growth of 28.2 percent and remaining in the 20 percent range through 2012. Ambient ad platforms will grow 6.8 percent in 2008. This growth compares with expected low single-digit growth or outright declines in most ad-based media in 2008 and 2009, including newspapers, radio, broadcast TV and magazines. U.S. digital OOH spending grew 23.1 percent on a compound annual basis from 2002-2007, exceeding 20 percent growth each year of the period, PQ Media found.






digital signage 2008 市場狀況

October 28, 2008
Report: Digital Signage Market to Hit 2.3 Million Displays by 2012
By Michael Dinan  TMCnet Editor

Though economic conditions present a short-term c
hallenge for digital signage, the market already has grown 34 percent in 2008 and is expected to continue its upward trend after next year,a Scottsdale, Arizona-based IT research firm is reporting today(2008-10-28).

Officials at MultiMedia Intelligence say that the market has consumed 1.1 million digital signage displays this year(2008), and is expected to consu
me nearly 2.3 million displays by 2012 .



According to MultiMedia Intelligence’s new 68-page report – which costs about $4,000 and is titled “Network Digital Signage: Infrastructure, Displays, Software and Technology,” global economic weakness will hurt new hardware deployment growth over the next year, but the market will return to double-digit growth in 2010.

Other findings of the report include: China overtook the USA as the top digital signage consumer, driven by preparations for the 2008 Olympics; retail, transportation and restaurants and bars are the top 3 verticals for digital signage; education and corporate communications verticals are making impressive gains; digital signage networks are increasingly driven by digital media adapters rather than PCs. Digital media adapters will exceed PCs in new deployments in 2009; roughly 8 percent of digital displays have embedded TV Tuners, with ATSC, DVB and country-specific standards competing for leadership.

2008年10月20日 星期一

2008年10月13日 星期一

Scala II

-- InfoChannel Content Manager
keyfeatures:
• Powerful browser-based interface for creating & managing Playlists
Create & plan content “channels” & assign to one or more players or group of players
• Direct creation of playlists in the new InfoChannel Content Manager
Timetable-based scheduling thru rich, browser-based graphical interface
• Easy content creation from templates
• Role-based user access rights
• Built-in SQL Database back-end for management of content & player databases
• Supports both passive and interactive digital signs or kiosks
• Network monitoring, including InfoChannel Player “health” status, etc
• InfoChannel Player Health and log views
• Playback Audit viewer and reporter with SQL back-end
Remote software updates
• Central management of InfoChannel Player and optional features licenses
• Extensive use of latest technology (Java, J2EE, Ajax)
• Intelligent file transfer
FTP or HTTP/HTTPS Transmission
• Terrestrial & Satellite (multicast) IP-based communication carriers are supported
• New 3D rendering & playback engine for improved performance and visual quality
Auto Scale content to any resolution (independent of playlists/scripts)
• Import standard graphics and video
• Flexible data integration & user customization using VBScript, JavaScript or Python
• Plan-based transmission scheme
• Group Players by criteria (geography, demographics, etc.)
• Expandable to satellite/IP with InfoChannel Broadcast Server

-- InfoChannel Designer

-- InfoChannel Player



(資料來源reference: scala )

相關產品整理

SeeingMachines FaceAPI -- real-Time 人臉追蹤工具








2008年10月12日 星期日

SeeingMachines FaceAPI -- real-Time 人臉追蹤工具

(資料來源reference)官方網址: http://www.seeingmachines.com/index.htm

採用即時的方式追蹤人臉

以上是官方的demo影片





  










Specifications

HeadTrackerV1

HeadTrackerV2

Notes

Tracking State

 

 

Tracking a face at framerate

Min Face Size (pixels)

40

 

Max Face Occlusion (%)

50

 

Head Rotation X (deg)

-20<45

-30<60

Horizontal axis (ear to ear)

Head Rotation Y (deg)

-30<30

-90<90

Vertical axis (up through head)

Head Rotation Z (deg)

-90<90

Camera axis (nose)

Positional Error (cm)

<1cm

Even illumination, no occlusion

Rotational Error (deg)

<3>

Even illumination, no occlusion

CPU Load (30hz USB webcam) (Total% / Process%)

12%/5%

30%/15%

Intel Core-2 Duo, 2.4GHz, 4MB Cache, Logitech Quickcam Deluxe for Notebooks

CPU Load (60hz firewire) 
(Total% / Process%)

6%/1%

8%/1%

Intel Core-2 Duo, 2.4GHz, 4MB Cache, PointGrey Flea

Initializing State

 

 

Finding a new face

Min Face Size (pixels)

40.00

Distance between outer eye corners

Head Rotation X (deg)

<15

Horizontal axis (ear to ear)

Head Rotation Y (deg)

<15

Vertical axis (up through head)

Head Rotation Z (deg)

<30

Camera axis (nose)

Time to Acquire (typical) (secs)

0.3 - 3.0

Assuming head is within in geometric constraints

CPU Load while acquiring face

50%

Intel Core-2 Duo, 2.4GHz, 4MB Cache

Searching State

 

 

Quick recovery from tracking failure

Recovery Conditions

Face front, no occlusion

Any pose, no occlusion

 

Min Recovery Time

1 frame

 

CPU Load (%)

20%

Intel Core-2 Duo, 2.4GHz, 4MB Cache


官方的產品特色
Features
• Highly robust, real-time, 6 degree-of-freedom (3D) monocular face tracking
• Able to track up to +/- 90 degrees of head rotation and fast head movements
• Optional real-time tracking of lips and eyebrows
• Face-texture ”mugshot” delivery upon tracking commencement
• Two types of head-trackers, trading CPU load for tracking capability
• Requires only 8-bit greyscale video input. Algorithms do not rely on color and are therefore able to track faces in the
dark using infra-red illumination
• Automatic tracking startup and immediate reacquisition when face is hidden then shown
• Facial feature detection and tracking – locates facial feature “landmarks” from a single image or real-time for video
sequences
• Designed for all human faces (it doesn’t matter what you look like). Robust to occlusion, fast movement, large head
rotations, lighting changes, dimly lit rooms, facial deformation, skin color, beards, glasses etc
• Can track with as few as 40 pixels across the face (typically 2m from a VGA camera)
• Works with any webcam or video file
• Full control over all tracking parameters for purposes of software integration
• Low-level image input interface for custom camera integration
• “Offline” tracking algorithm for high-quality tracking of faces in movie files where real-time performance is not required
• Separate low-level “face-search” algorithm for finding multiple faces in images and short image sequences. This algorithm
has three “depth” levels, with level 0 providing fast results to level 2 which accurately locates facial features and estimates
head-pose in 3D