A fast and efficient highlight detector for soccer

Zoetekouw, B.; Fonseca, Pedro; Funken, R.

doi:10.1109/icce.2008.4588005

Cited by 2 publications

(4 citation statements)

References 2 publications

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“…A complete description of the technical implementation of this algorithm can be found in [13]; nevertheless, in order to emphasize the restrictions highlighted in the introduction, a brief outline of the main features of the algorithm are described here.…”

Section: Implementation and Performance Measurementmentioning

confidence: 99%

Multimedia content analysis for consumer electronics

Barbieri

Fonseca

Peters

et al. 2008

Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval

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The last few years have seen an explosion not only in the amount of content produced but also in the amount of content available. However, while it is great that users can watch virtually anything they want, it becomes increasingly difficult to find content that is actually relevant to the user. This "curse" of content availability is very important for consumer electronic devices since they are as valuable as the value they add to a user's life: if the only thing they do is to increase exponentially the users' choices of what to watch, listen to or consume in any way, then they add, paradoxically, more complication to their lives. Content analysis can be used to help the user select what to watch and is thus essential in modern multimedia devices. However, there are technical and human restrictions to the technology developed for such devices.In this paper we discuss these restrictions and how they affect the work on content analysis done in an industrial research environment. We will present three case studies that show how these restrictions influence the choices made from the moment content analysis technology is designed, until the moment it is tested with users.

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Section: Implementation and Performance Measurementmentioning

confidence: 99%

Multimedia content analysis for consumer electronics

Barbieri

Fonseca

Peters

et al. 2008

Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval

Self Cite

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“…We prototyped an application that incorporates the algorithm [2] for automatic detection of highlights in broadcasted soccer matches. The application detects the highlights in a match and uses markers in a timeline to show where in the match the highlights are located (see Figure 1).…”

Section: Application Interfacementioning

confidence: 99%

“…It is clear that, except for the first expectation, these expectations are either not addressed (3, 4 and 5) by the application at all or for a few participants not addressed in a completely satisfactory manner (2). This is explained in the next section.…”

mentioning

confidence: 93%

“…As an additional challenge, users will inevitably compare the automatically detected highlights with the highlights that are manually selected and commented on by professional sports journalists. The soccer highlights application developed by Philips [2] overcomes this issue, bridges this gap by providing userfriendly interaction to users, while taking into account the gap between the accuracy of technology and users' high expectations.…”

Section: Introductionmentioning

confidence: 99%

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User Test of Soccer Highlights Application

Wang

Fonseca

Zoetekouw

2008

Electronic Workshops in Computing

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This paper describes an evaluation of a consumer application for soccer highlights detection, which combines advanced user interaction with an underlying automatic highlights detection algorithm. The application was developed for a home entertainment setting, i.e., for non-professional use, and was implemented on a Media Center PC with a remote control. The evaluation uses a qualitative assessment to measure the participants' satisfaction with the application, and investigates their satisfaction regarding several important factors, such as the participants' expectations and their satisfaction with the highlights. In the evaluation, we found that the participants' expectations regarding a soccer highlights detection application vary widely, and there is a gap between what participants expect and what any automatic detection application can provide. Despite this gap, the results from the qualitative assessment indicate that the application is very positively perceived by the participants. The results indicate that the participants showed positive satisfaction with the application, especially in its ease-of-learning, ease-of-use, and the feeling of being in control. Moreover, the results suggest new and further tuned user requirements that help improve satisfaction with the application.

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A fast and efficient highlight detector for soccer

Cited by 2 publications

References 2 publications

Multimedia content analysis for consumer electronics

Multimedia content analysis for consumer electronics

User Test of Soccer Highlights Application

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