Why did you record this video?
An exploratory study on user intentions for video
production.



Mathias Lux* & Jochen Huber§
* Klagenfurt University, AT
§ Technische Universität Darmstadt, DE




                   This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0
Motivation

• Novelty of intentions in MMIS
  – have not (yet) been investigated thoroughly
• Hard, interdisciplinary problem
  – fuzzy, social, deals with people
• Intentions are diverse
  – have potential for distinguishing
    between different user groups



                                       (cc) by bitzcelt, http://www.flickr.com/photos/bitzcelt/
Goals

• Find out if there is a taxonomy that can
  be used for MMIS.
• Support or reject current approaches.
• Find path towards a usable model
  supported by statistics.




                            (cc) by jam343 http://www.flickr.com/photos/jam343
Roots

• A taxonomy of web search (2002), A. Broder
  – navigational – “dublin wikipedia”
  – informational – “day tour dublin”
  – transactional – “book hotel in dublin”
• Understanding user goals in web search
  (2004), D. Levinson & D. Rose
  – transactional -> resource
  – more fine-grained sub categories
  – informational > 60%
Roots

• A classification scheme for user
  intentions in image search (2010), M.
  Lux, C. Kofler, O. Marques
  – 4th category: mental image
  – categories overlap
Photo production

• The ubiquitous camera: An in-depth
  study of camera phone use (2005), T.
  Kindberg et al.
  – Affection vs. function
  – Social vs. individual
Video production

• Video microblogging: your 12 seconds of
  fame (2010) N. Bornoe & L. Barkhuus
  – social collaboration (not individual)
  – self expression, entertainment, self representation
• Practices in creating videos with mobile
  phones (2009), A. Puikkonen et al.
  – preserve moment of interest
  – sharing ”occasionally”, not by default
Methodology

• Exploratory study
  – 20 participants (16m, 4f)
  – semi-structured interviews
• Interviews
  – demographics & general usage
  – communication & recording habits
• Instances
  – 48 situations were reported
Research Questions

Using Kindberg’s taxonomy as a basis
• Are Kindberg’s classes disjoint?
  – are there instances that indicate overlap?
• Is a 2D space sufficient to describe video
  production intentions
  – need for other dimensions?




                                   (cc) by oberazzi, http://www.flickr.com/photos/oberazzi/
Analysis

• Clustering of instances
  – similar instances go together
  – grouped manually
  – discussed grouping
  – multiple assignments possible




                               (cc) by alastanton, http://www.flickr.com/photos/alanstanton
Clustering

• Preservation
    – Storing a scene to view it later
•   Sharing
    – Showing scenes to others
•   Affection
    – Capturing a scene due to emotion
•   Functional
    – Video is part of a job, hobby, etc.
•   Technical interest
    – E.g. trying out a camera
•   Other
    – Unknown or unmentioned intentions, etc.
Results

• Nearly all of the videos (39 /48) were
  taken for sharing them.
  – 29 of the 39 instances: family, friends, colleagues,
    other closed groups.
• Affection - 23 instances
• Preservation - 19 instances
Results

• Do class assignments co-occur?
• Cross-tabulation
  – phi can be read like a correlation coefficient
  – -1 <= min <= phi <= max <= 1
  – min, max due to
    different number of
    assignments
Discussion

• Multiple assignments
   – 81% were assigned to more than 1 cluster
   – Are classes disjoint (e.g. function vs. affection)?

P4 mentioned a video he took on a mountain while
  snowboarding. He recorded the video because he “took
  it because [he loves] snowboard video tricks and [he
  thinks] that it is very important to reconsider them to
  improve [his own] technique”.
Discussion

P10 reported “First my friend is so good at
  singing and also charming and second he was
  about to leave the city and that was our last
  meeting. So I took the video to remember the
  night”

• Ad-hoc affection vs.
• Preservation
Discussion

• Preservation opposite of sharing?
  – No correlation in our data (A)
• Function & preservation go together?
  – maximum neg. correlation (B)
                                         B
                                     A
Conclusion

• Intention classes not disjoint in the
  domain of video production
• Kindberg’s taxonomy is not sufficient for
  video production
• Preservation, sharing, affection &
  function are 4 valid classes to start with.
Future work

• Our proposed structure is biased by
   – the small data set
   – the convenience sample
   – the questions asked
• Collected a data set for photos
   – 1,309 photos + intentions of their photographers
   – mturk validation and QA of the survey results
• Collection of a video data set
• Application in domains



                                       (cc) by thevince, http://www.flickr.com/photos/thevince
Thanks …

.. for your interest

more on user intentions:
  http://tinyurl.com/mlux-itec

check out LIRe CBIR library:
  http://www.semanticmetadata.net

  mlux@itec.uni-klu.ac.at



                                    (cc) http://www.jumpingbrain.org/

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Why did you record this video?

  • 1. Why did you record this video? An exploratory study on user intentions for video production. Mathias Lux* & Jochen Huber§ * Klagenfurt University, AT § Technische Universität Darmstadt, DE This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0
  • 2. Motivation • Novelty of intentions in MMIS – have not (yet) been investigated thoroughly • Hard, interdisciplinary problem – fuzzy, social, deals with people • Intentions are diverse – have potential for distinguishing between different user groups (cc) by bitzcelt, http://www.flickr.com/photos/bitzcelt/
  • 3. Goals • Find out if there is a taxonomy that can be used for MMIS. • Support or reject current approaches. • Find path towards a usable model supported by statistics. (cc) by jam343 http://www.flickr.com/photos/jam343
  • 4. Roots • A taxonomy of web search (2002), A. Broder – navigational – “dublin wikipedia” – informational – “day tour dublin” – transactional – “book hotel in dublin” • Understanding user goals in web search (2004), D. Levinson & D. Rose – transactional -> resource – more fine-grained sub categories – informational > 60%
  • 5. Roots • A classification scheme for user intentions in image search (2010), M. Lux, C. Kofler, O. Marques – 4th category: mental image – categories overlap
  • 6. Photo production • The ubiquitous camera: An in-depth study of camera phone use (2005), T. Kindberg et al. – Affection vs. function – Social vs. individual
  • 7. Video production • Video microblogging: your 12 seconds of fame (2010) N. Bornoe & L. Barkhuus – social collaboration (not individual) – self expression, entertainment, self representation • Practices in creating videos with mobile phones (2009), A. Puikkonen et al. – preserve moment of interest – sharing ”occasionally”, not by default
  • 8. Methodology • Exploratory study – 20 participants (16m, 4f) – semi-structured interviews • Interviews – demographics & general usage – communication & recording habits • Instances – 48 situations were reported
  • 9. Research Questions Using Kindberg’s taxonomy as a basis • Are Kindberg’s classes disjoint? – are there instances that indicate overlap? • Is a 2D space sufficient to describe video production intentions – need for other dimensions? (cc) by oberazzi, http://www.flickr.com/photos/oberazzi/
  • 10. Analysis • Clustering of instances – similar instances go together – grouped manually – discussed grouping – multiple assignments possible (cc) by alastanton, http://www.flickr.com/photos/alanstanton
  • 11. Clustering • Preservation – Storing a scene to view it later • Sharing – Showing scenes to others • Affection – Capturing a scene due to emotion • Functional – Video is part of a job, hobby, etc. • Technical interest – E.g. trying out a camera • Other – Unknown or unmentioned intentions, etc.
  • 12. Results • Nearly all of the videos (39 /48) were taken for sharing them. – 29 of the 39 instances: family, friends, colleagues, other closed groups. • Affection - 23 instances • Preservation - 19 instances
  • 13. Results • Do class assignments co-occur? • Cross-tabulation – phi can be read like a correlation coefficient – -1 <= min <= phi <= max <= 1 – min, max due to different number of assignments
  • 14. Discussion • Multiple assignments – 81% were assigned to more than 1 cluster – Are classes disjoint (e.g. function vs. affection)? P4 mentioned a video he took on a mountain while snowboarding. He recorded the video because he “took it because [he loves] snowboard video tricks and [he thinks] that it is very important to reconsider them to improve [his own] technique”.
  • 15. Discussion P10 reported “First my friend is so good at singing and also charming and second he was about to leave the city and that was our last meeting. So I took the video to remember the night” • Ad-hoc affection vs. • Preservation
  • 16. Discussion • Preservation opposite of sharing? – No correlation in our data (A) • Function & preservation go together? – maximum neg. correlation (B) B A
  • 17. Conclusion • Intention classes not disjoint in the domain of video production • Kindberg’s taxonomy is not sufficient for video production • Preservation, sharing, affection & function are 4 valid classes to start with.
  • 18. Future work • Our proposed structure is biased by – the small data set – the convenience sample – the questions asked • Collected a data set for photos – 1,309 photos + intentions of their photographers – mturk validation and QA of the survey results • Collection of a video data set • Application in domains (cc) by thevince, http://www.flickr.com/photos/thevince
  • 19. Thanks … .. for your interest more on user intentions: http://tinyurl.com/mlux-itec check out LIRe CBIR library: http://www.semanticmetadata.net mlux@itec.uni-klu.ac.at (cc) http://www.jumpingbrain.org/