Since the last decade we have been observing a tremendous growth in the size of personal photo collections. For this reason, and due to the lack of proper automatic classification and annotation in standard album-centric photo software, users find it increasingly difficult to organise and make use of their photos. Although automatic annotation of media content can work to achieve more sophisticated multimedia classification and retrieval if its used in combination with rich knowledge representations, it still requires the availability of well-annotated training sets to produce the type of higher-level descriptions that would be of interest to casual users. Thus, the applicability of this approach is highly unlikely in the broad domain of personal photography. Recent developments in the media industry show an interest towards the organisation and structuring of media collections using an event-centric metaphor. This event-centric approach is inspired by strong research in psychology on how our autobiographical memory works to organise, recollect and share our life experiences. While this metaphor is backed by some early user studies, these were led before the large adoption of social media sharing services and there has been little recent research on how users actually use events digitally to organise and share their media. In this work we first present an updated study on what users are doing with their photos in current online platforms to support the suitability of an event-centric approach. Next, we introduce a simple framework for event-centric personal photo management focused on temporal and spatial aspects and through it we describe our techniques for automatic photo organisation and sharing. Finally, we propose a platform for personal photo management that makes use of these automatic techniques and present an evaluation of a prototypical implementation.
Event-centric management of personal photos / Paniagua Laconich, Eduardo Javier. - (2015), pp. 1-61.
Event-centric management of personal photos
Paniagua Laconich, Eduardo Javier
2015-01-01
Abstract
Since the last decade we have been observing a tremendous growth in the size of personal photo collections. For this reason, and due to the lack of proper automatic classification and annotation in standard album-centric photo software, users find it increasingly difficult to organise and make use of their photos. Although automatic annotation of media content can work to achieve more sophisticated multimedia classification and retrieval if its used in combination with rich knowledge representations, it still requires the availability of well-annotated training sets to produce the type of higher-level descriptions that would be of interest to casual users. Thus, the applicability of this approach is highly unlikely in the broad domain of personal photography. Recent developments in the media industry show an interest towards the organisation and structuring of media collections using an event-centric metaphor. This event-centric approach is inspired by strong research in psychology on how our autobiographical memory works to organise, recollect and share our life experiences. While this metaphor is backed by some early user studies, these were led before the large adoption of social media sharing services and there has been little recent research on how users actually use events digitally to organise and share their media. In this work we first present an updated study on what users are doing with their photos in current online platforms to support the suitability of an event-centric approach. Next, we introduce a simple framework for event-centric personal photo management focused on temporal and spatial aspects and through it we describe our techniques for automatic photo organisation and sharing. Finally, we propose a platform for personal photo management that makes use of these automatic techniques and present an evaluation of a prototypical implementation.File | Dimensione | Formato | |
---|---|---|---|
paniagua-phd-thesis.pdf
accesso aperto
Tipologia:
Tesi di dottorato (Doctoral Thesis)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
614.23 kB
Formato
Adobe PDF
|
614.23 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione