Supporting personal photo storytelling for social albums

Obrador, Pere; Oliveira, Rodrigo de; Oliver, Núria

doi:10.1145/1873951.1874025

Cited by 38 publications

(31 citation statements)

References 34 publications

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“…Table 1 depicts the characteristics of the selected dataset. Aesthetics were computed using a similar method to [4], and affective tagging was the average of a manual valence/arousal annotation, performed by two researchers.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…A significant F-statistic is observed for all models. Each of these factors can be automatically estimated (AS using [4], VA/AR using emotion recognition algorithms, and SC using GIST features). Finally, the average slideshow length was 18.2 photos, out of which 11.3, 2.3 and 4.6 had positive, neutral, and negative VA, respectively, highlighting the preference of users for affective images.…”

Section: Image Selectionmentioning

confidence: 99%

“…Previous attempts to tackle this problem have focused mainly on event-based image sequences for photo-album summarization [3,4]. However, since personal photolibraries are generally populated by images of people, those who are close Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”

Section: Introductionmentioning

confidence: 99%

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How do users make a people-centric slideshow?

Vonikakis

Subramanian

2013

Proceedings of the 2nd ACM International Workshop on Crowdsourcing for Multimedia

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This paper presents a pilot user study that attempts to shed light on the ways users create people-centric slideshows, with the objective of scaling it up to a crowdsourcing experiment. The study focuses on two major directions, namely image selection and image sequencing. Participants were asked to select photos of a specific person from an initial set and arrange them into a slideshow. Results show that there is correlation between specific predictors and selected images, as well as their relative position in the final sequence. This indicates that a crowdsourcing experiment will indeed highlight the characteristics of the average user, which can then be incorporated into an automatic people-centric slideshow creator.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Image Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How do users make a people-centric slideshow?

Vonikakis

Subramanian

2013

Proceedings of the 2nd ACM International Workshop on Crowdsourcing for Multimedia

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show abstract

“…Their approach does not consider the relationship between performers, authors, and recipients as part of the same social circle. Other examples include the automatic generation of video mash-ups from YouTube content [Shrestha, 2010], social creation of photo albums [Obrador, 2010], and synchronization and organization of user-generated content from popular music events . Nevertheless, none of the above solutions provide a narrative engine founded in established narrative principles for the generation of the video compilations.…”

Section: Related Workmentioning

confidence: 99%

Automatic generation of video narratives from shared UGC

Zsombori

Frantzis

Guimarães

et al. 2011

Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia

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This paper introduces an evaluated approach to the automatic generation of video narratives from user generated content gathered in a shared repository. In the context of social events, end-users record video material with their personal cameras and upload the content to a common repository. Video narrative techniques, implemented using Narrative Structure Language (NSL) and ShapeShifting Media [Ursu, 2008a], are employed to automatically generate movies recounting the event. Such movies are personalized according to the preferences expressed by each individual end-user, for each individual viewing. This paper describes our prototype narrative system, MyVideos, deployed as a web application, and reports on its evaluation for one specific use case: assembling stories of a school concert by parents, relatives and friends. The evaluations carried out through focus groups, interviews and field trials, in the Netherlands and UK, provided validating results and further insights into this approach.

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“…A key element of this approach is that media gets integrated into some larger narrative story, rather than that the media object is the story itself. A number of research efforts have addressed this problem by focusing on community video remix [14], automatic generation of video mashups from YouTube content [59], social creation of photo albums [58] and configurable and interactive storytelling [49] [52]. The main difference of our work lays on the fact that we do not aim at providing a complete description of an event based on the characteristics of individual media fragments, but personalized video stories (narratives) based on the social bonds between people.…”

Section: Creation and Productionmentioning

confidence: 99%

Socially-aware multimedia authoring

Bulterman

César

Guimarães

2013

ACM Trans. Multimedia Comput. Commun. Appl.

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Creating compelling multimedia productions is a nontrivial task. This is as true for creating professional content as it is for nonprofessional editors. During the past 20 years, authoring networked content has been a part of the research agenda of the multimedia community. Unfortunately, authoring has been seen as an initial enterprise that occurs before ‘real’ content processing takes place. This limits the options open to authors and to viewers of rich multimedia content for creating and receiving focused, highly personal media presentations. This article reflects on the history of multimedia authoring. We focus on the particular task of supporting socially-aware multimedia , in which the relationships within particular social groups among authors and viewers can be exploited to create highly personal media experiences. We provide an overview of the requirements and characteristics of socially-aware multimedia authoring within the context of exploiting community content. We continue with a short historical perspective on authoring support for these types of situations. We then present an overview of a current system for supporting socially-aware multimedia authoring within the community content. We conclude with a discussion of the issues that we feel can provide a fruitful basis for future multimedia authoring support. We argue that providing support for socially-aware multimedia authoring can have a profound impact on the nature and architecture of the entire multimedia information processing pipeline.

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Supporting personal photo storytelling for social albums

Cited by 38 publications

References 34 publications

How do users make a people-centric slideshow?

How do users make a people-centric slideshow?

Automatic generation of video narratives from shared UGC

Socially-aware multimedia authoring

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