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Audiovisual content exploitation JTS2010
1. Audiovisual content exploitation in the networked information society Crowdsourcing Rock ‘n Roll Multimedia Retrieval Roeland Ordelman Research & Development Netherlands Institute for Sound and Vision rordelman@beeldengeluid.nl
2. contents AV content exploitation, annotation technology and user needs NISV context: digitization in Images of the Future Annotation technology for enabling access Annotation technology and user needs Example: Crowdsourcing Rock ‘n Roll Multimedia Retrieval
14. A strong business model is necessary to support this kind of investment and prove that such an investment will result in long-term socio-economic returns
15. The outcome of a Cost-Benefit analysis was positive: “The total balance of costs and returns of restoring, preserving and digitising audio-visual material (excluding costs of tax payments) will be between: 20+ and 60+ million.’’
17. Direct effects of the investment are revenues from sales, access for specific user groups, the repartition of copyright for the use of the material and so on.
20. conservation of culture, reinforcement of cultural awareness, reinforcement of democracy through the accessibility of information, increase in multimedia literacy and contribution to the Lisbon goals set by the EUhttp://www.prestoprime.org/project/public.en.html
58. project goals: provide demonstrator portal to show how technology could help researchers acquire information on specific user requirements search collaboration linking privacy dedicated work space http://www.verteldverleden.org
69. archive internet web content preserve broadcast related websites to use as context information for audiovisual data in the Sound and Vision archive
76. Crowdsourcing Rock N’ Roll Multimedia Retrieval Netherlands Institute for Sound and Vision University of Amsterdam – Visual Search (Cees Snoek) University of Twente – Speech Recognition (Franciska de Jong) VideoDock – User Interface (Bauke Freiburg)
77.
78. from only summary to almost unabridged recordings, even including raw, unpublished footage as well as interviews
€ 173 mln in 7 jaar (looptijd 2007-2014)wel terugverdienverplichting. Tijdens looptijd € 19 mln
in the contextdatabase also other information sources
The amount of footage for each festivalyear varies from only a summary to almost unabridgedconcert recordings, even including raw, unpublished footage
In contrast to domains like news video, where the numberof visual concepts is unrestricted, the number of conceptsthat may appear in a concert is more or less fixed. A bandplays on stage for an audience. Thus, major concepts arerelated to the role of the band members, e.g. lead singer, orguitarist, and the type of instruments that they play, e.g.,drums or keyboard. Although quite many instruments exist,most bands typically use guitars, drums, and keyboards.We chose 12 concert concepts based on frequency, visual detectionfeasibility, previous mentioning in literature [3, 10],and expected utility for concert video users. For each conceptwe annotated several hundred of examples using theannotation tool depicted in Figure 3 [1]. The 12 concertconcepts are depicted in Figure 4.
Automatic speech recognition (ASR) technology was usedto attach browsing functionality to the interview fragmentsin the collection. Speech transcripts were generated usingthe SHoUT ASR toolkit [4] and post-processed to generatea filtered term frequency list that is most likely to representthe contents of the interviews, based on tf.idf statistics. Thislist was then used to create a time-synchronized term cloud.Each word in the cloud is clickable to enable users to jumpto the part of the interview where a word is mentioned.
The main mode of user interaction with our video searchengine is by means of a timeline-based video player, seeFigure 2. The player enables users to watch and navigatethrough a single video concert. Little colored dots on thetimeline mark the location of an interesting fragment correspondingto an automatically derived label. To inspect thelabel and the duration of the fragment, users simply movetheir mouse cursor over the colored dot. By clicking the dot,the player instantly starts the specific moment in the video.If needed, the user can manually select more concept labelsin the panel on the left of the video player. If the timelinebecomes too crowded as a results of multiple labels, the usermay decide to zoom in on the timeline. Besides providingfeedback on the automatically detected labels, we also allowour users to comment on the individual fragments, sharethe fragment through e-mail or Twitter, and embed the integratedvideo player, including the crowdsourcing mechanism,on different websites.
In order to find a balance between an appealing user experienceand a maximized user participation, we motivateonline users to participate by providing them with access toa selection of exclusive, full-length concert videos. The userswatch the videos without interruption and are encouragedto provide their feedback by graphical overlays that appearon top of the video, see Figure 1.The threshold to participate is deliberately kept low. Usersdo not need to sign up and can provide their feedback justby clicking buttons. With the thumbs-up button they indicatethat they agree with the automatically detected labelfor the video fragment. If they press the thumbs-down button,the user is asked to correct the label. Within a fewclicks the user can select another pre-defined label or createa new label on demand. In addition, the user are allowedto indicate whether the start or end of the fragment wasinconsistent with the label. All user feedback is stored ina database together with the users IP addresses and usersessions.