Your SlideShare is downloading. ×
0
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Kinomatics: Presentation at HOMER (Prague 2013)
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Kinomatics: Presentation at HOMER (Prague 2013)

1,548

Published on

Big CInema Data paper presented at the HOMER meeting, Prague, June 2013

Big CInema Data paper presented at the HOMER meeting, Prague, June 2013

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,548
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Visualization: Steve Bennett6 weeks of data = mid December to end January (2013)The legend for the colour coding is as follows:  [movie= "The Hobbit: An Unexpected Journey in 3D"] { marker-fill: blue; }  [movie = "Skyfall"] { marker-fill: red; }  [movie = "Rise of the Guardians"] { marker-fill: orange; }  [movie = "Life of Pi"], [movie = "Life of Pi 3D"] { marker-fill: green; }  [movie = "Populaire"] { marker-fill: pink; }  [movie = "Talaash"] { marker-fill: yellow; marker-line-width: 1; }  [movie = "The Twilight Saga: Breaking Dawn - Part 2"] { marker-fill: purple; }(Other movies are shown as blue-grey. In the US, a lot of these are Lincoln)
  • Does ‘big cinema data’ enable us to answer questions previously consideredbeyond reach?
  • For example 55-60% of data collected digitally and automatically – e.g. from point of sale/ticketing system etc.
  • AlsoVISALISATION?Real world big data applications commonly address one or two of the “V”s. However there are many organizations with big data projects that do indeed incorporate all three; these usually involve high volumes of streaming data from a variety of sources.
  • Big data: Its not the size of the data that counts – it is capacity (what you can do with it) that is its defining feature. Big data is really just “initially unmanageable” data.
  • Green =everythingRed = Les Mis
  • Screenings of Les Mis in one week.
  • Population of Australia = 23mPopulation of USA = 316mPopulation of Canada = 35mPopulation of UK = 52m
  • Worldwide Telescope
  • Multiplied in the humanities…?
  • For example 55-60% of data collected digitally and automatically – e.g. from point of sale/ticketing system etc.
  • Transcript

    • 1. CRICOS Provider Code: 00113BCinema Studies is BigIt’s The Pictures That Got SmallDeb Verhoeven, Colin Arrowsmith, Bronwyn Coate, Alwyn DavidsonHOMER, June 2013 @bestqualitycrab
    • 2. CRICOS Provider Code: 00113BKinomaticsDeb Verhoeven et al, HOMER, June 2013 2
    • 3. CRICOS Provider Code: 00113BKinomaticsDeb Verhoeven et al, HOMER, June 2013 3Kinematics: the study of the geometry of motionKinomatics: the study of the industrial geometry ofmotion pictures
    • 4. CRICOS Provider Code: 00113BKinomatics: Key questions (I)Deb Verhoeven et al, HOMER, June 2013 4• How can we use newly available, large scale systemic data todetermine and measure the critical factors affecting film industryperformance?• What is the impact of new distribution and exhibition industry practicesresulting from the global adoption of digital projection technologies?• How can we interpret the data in relation to Hollywood‟s increasinglyreliance on international markets for sustainability?• What is the impact of environmental conditions on film diffusion?• How might the techniques of New Cinema History enable PredictiveAnalysis – based on real-time information analytics and fact-basedprojections
    • 5. CRICOS Provider Code: 00113BKinomatics: Key questions (II)Deb Verhoeven et al, HOMER, June 2013 5• The idea of data as both a subject and object of analysisin cinema studies• Issues of methodology and the kind of knowledge claimsthat come with data-driven analysis• The rhetoric of “problems and solutions” in which data ismobilized• Questions of agency and automation• Confidentiality and the socialisation of data• Questions around standards for development andimplementation
    • 6. CRICOS Provider Code: 00113BKinomatics: Global Showtime ProjectDeb Verhoeven et al, HOMER, June 2013 6The team: Deb Verhoeven (Deakin University)Colin Arrowsmith (RMIT University)Bronwyn Coate (Deakin University)Alwyn Davidson (Deakin University)Steve Bennett (VeRSI)Christopher McAvaney (DeakinUniversity)ARC DP120101940: Only at the Movies?
    • 7. CRICOS Provider Code: 00113BKinomatics: Global Showtime ProjectDeb Verhoeven et al, HOMER, June 2013 7The data: December 2012 to December 2013All screenings of all movies for 48countriesCollected by one companyMode of collection differs
    • 8. CRICOS Provider Code: 00113BKinomatics: Global Showtime ProjectDeb Verhoeven et al, HOMER, June 2013 8The specs: Compressed data files areautomatically downloaded via aPERL synchronisation serviceThe project database is RHEL 6standard MySQL 5.1.67Stored on a virtual server using theDeakin standard RedHat EnterpriseLinux (RHEL) version 6.4
    • 9. CRICOS Provider Code: 00113BKinomatics: Big Cinema DataDeb Verhoeven et al, HOMER, June 2013 9VelocityVeracityVolumeVariety
    • 10. CRICOS Provider Code: 00113BKinomatics: VarietyDeb Verhoeven et al, HOMER, June 2013 10Theschema:Distribution Movie Showtime Venue_LocationMovie_ID Movie_ID Movie_ID Venue_IDIntl_Country Movie_Title Venue_ID Venue_NameIntl_Title Parent_ID Show_Date CountryIntl_Rating Genre Show_Time AddressIntl_Release_Date Rating Special_Attributes CityDirector Festival CountyMovie_Genre Producer With_Movie_ID StateMovie_ID Actor Show_Sound PostcodeMovie_Genre Writer Show_Passes LattitudeDistributor Show_Comments LongitudeMovie_Cast Release_Date Venue_TypeMovie_ID Release_Notes Extra_VenueCast_Name Running_Time ScreensCast_Type Star_Rating Venue_SoundURL ClosedAttributesSeatingCommentsDMA_MarketTicket_AdultTicket_ChildTicket_SeniorTicket_OnlineTicket_BargainTicket_Comment
    • 11. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 11Oneweek ofdata =
    • 12. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 12Oneweek ofdata =
    • 13. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 13Oneweek ofdata =
    • 14. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 14LesMiserables(red)One weekof data =
    • 15. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 15Oneweek ofdata =
    • 16. CRICOS Provider Code: 00113BKinomatics: VolumeDeb Verhoeven et al, HOMER, June 2013 16Oneweek ofdata =
    • 17. CRICOS Provider Code: 00113BKinomatics: VelocityDeb Verhoeven et al, HOMER, June 2013 17
    • 18. CRICOS Provider Code: 00113BKinomatics: VeracityDeb Verhoeven et al, HOMER, June 2013 18The data: Establishing trust in big data presents ahuge challenge as the variety and number ofsources grows.
    • 19. CRICOS Provider Code: 00113BKinomatics: Variables vs ComparablesDeb Verhoeven et al, HOMER, June 2013 19Predictive Modeling:• Box Office Prophecy (Court, Plott, McKenzie)http://apo.org.au/research/predictive-power-box-office-prophecy-0• Big data holds the promise of the use of advancedmathematical, data mining, pattern recognition, andmachine learning techniques to analyze the pastperformance of thousands of motion pictures, andforecast movie revenues based on this analysis
    • 20. CRICOS Provider Code: 00113BKinomatics: More readingDeb Verhoeven et al, HOMER, June 2013 20Verhoeven, Deb (2012) „New Cinema History and the ComputationalTurn‟, Beyond Art, Beyond Humanities, Beyond Technology: A NewCreativity, World Congress of Communication and the Arts ConferenceProceedings, University of Minho, PortugalVerhoeven, Deb (2013) „What is a Cinema? Death, Closure and theDatabase‟, in Watching Films: New Perspectives on Movie-Going, Exhibition andReception (eds) Albert Moran and Karina Aveyard, Intellect Books, pp. 33-51.deakin.academia.edu/DebVerhoeven
    • 21. CRICOS Provider Code: 00113BI’m ready for my questions nowDeb Verhoeven, Colin Arrowsmith, Bronwyn Coate, Alwyn DavidsonHOMER, June 2013 @bestqualitycrab

    ×