Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation

Monaghan, Fergal; O’Sullivan, David

doi:10.1007/978-3-540-77051-0_27

Cited by 15 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Indexing through information propagation may be performed when inserting contextual information such as in [13] where the authors use time, geodesy and social information to recover the event and the people. However there is still the need to provide each photo or group of photos the names of the people they contain.…”

Section: State O F the Ar Tmentioning

confidence: 99%

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

Crampes¹,

Oliveira-Kumar

Ranwez³

et al. 2009

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Abstract-Social photos, which are taken during family events or parties, represent individuals or groups of people. We show in this paper how a Hasse diagram is an efficient visualization strategy for eliciting different groups and navigating through them. However, we do not limit this strategy to these traditional uses. Instead we show how it can also be used for assisting in indexing new photos.Indexing consists of identifying the event and people in photos. It is an integral phase that takes place before searching and sharing. In our method we use existing indexed photos to index new photos. This is performed through a manual drag and drop procedure followed by a content fusion process that we call 'propagation'. At the core of this process is the necessity to organize and visualize the photos that will be used for indexing in a manner that is easily recognizable and accessible by the user. In this respect we make use of an Object Galois Sub-Hierarchy and display it using a Hasse diagram. The need for an incremental display that maintains the user's mental map also leads us to propose a novel way of building the Hasse diagram. To validate the approach, we present some tests conducted with a sample of users that confirm the interest of this organization, visualization and indexation approach. Finally, we conclude by considering scalability, the possibility to extract social networks and automatically create personalised albums.

show abstract

Section: State O F the Ar Tmentioning

confidence: 99%

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

Crampes¹,

Oliveira-Kumar

Ranwez³

et al. 2009

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

show abstract

“…We have taken the approach of modeling mobile devices based on their connectivity options (Bluetooth, WiFi, RFID). The ACRONYM ontology [15] is used for modeling the devices and it has been extended with the conserv#hasDetection property in order to connect devices to detection events.…”

Section: Detection: the Detection Of A Person Results In The Creationmentioning

confidence: 99%

A Context Lifecycle for Web-Based Context Management Services

Hynes

Reynolds

Hauswirth

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

During the development of context aware applications a context management component must traditionally be created. This task requires specialist context lifecycle management expertise and hence can be a significant deterrent to application development. It also removes the developers focus from differentiation of their application to an oft repeated development task. This issue can be addressed by encapsulating the context management lifecycle within a web-service, thus providing applications with a low-overhead alternative to managing their context data. The adoption of a web-based approach maximizes the potential number of interacting applications, including smart spaces, web and mobile applications, due to ease of access and widespread support of web technologies. The contribution of this paper is the development of a lifecycle, based on existing work on enterprise data and context aware lifecycles, which is optimized for web-based context management services (WCXMS) and the provision of a web-service implementation of the lifecycle.

show abstract

“…On the other hand, Naaman et al [5] and Monaghan et al [4] also consider using only context information to produce a candidate list when tagging a face on a photo. In [5], the contexts of popularity, temporal re-occurrence, and spatial reoccurrence are included.…”

Section: Related Workmentioning

confidence: 99%

“…In [5], the contexts of popularity, temporal re-occurrence, and spatial reoccurrence are included. In [4], the authors extract useful information from the EXchangeable Image File (EXIF) format metadata of photos. These works still focus on personal photo albums and one major problem is that the auxiliary metadata may not always be available on social network services.…”

Section: Related Workmentioning

confidence: 99%

Photo identity tag suggestion using only social network context on large-scale web services

Tseng

Chen

2011

2011 IEEE International Conference on Multimedia and Expo

View full text Add to dashboard Cite

Recently, uploading photos and adding identity tags on social network services are prevalent. Although some researchers have considered leveraging context to facilitate the process of tagging, these approaches still rely mainly on face recognition techniques that use visual features of photos. However, since the computational and storage costs of these approaches are generally high, they cannot be directly applicable to largescale web services. To resolve this problem, we explore using only social network context to generate the top-k list of photo identity tag suggestion. The proposed method is based on various co-occurrence contexts that are related to the question of who may appear in this photo. An efficient ranking algorithm is designed to satisfy the real-time needs of this application. We utilize public album data of 400 volunteers from Facebook to verify that our approach can efficiently provide accurate suggestions with less additional storage requirement.

show abstract

Leveraging Ontologies, Context and Social Networks to Automate Photo Annotation

Cited by 15 publications

References 3 publications

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

Visualizing Social Photos on a Hasse Diagram for Eliciting Relations and Indexing New Photos

A Context Lifecycle for Web-Based Context Management Services

Photo identity tag suggestion using only social network context on large-scale web services

Contact Info

Product

Resources

About