Leveraging personal photos to inferring friendships in social network services

Kim, Heung-Nam; Saddik, Abdulmotaleb El; Jung, Jin-Guk

doi:10.1016/j.eswa.2012.01.022

Cited by 16 publications

(4 citation statements)

References 22 publications

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“…Kim et al [12] developed an associative network structure called Face Co-occurrence Networks (FCON), which was used to recommend reliable social friends and explore relationships among people based on tagged personal photos. FCON consists of vertices (V) and edges (E), where V is a set of faces, which appeared in photos and E is a set of links between each pair of faces (aka.…”

Section: Literature Reviewmentioning

confidence: 99%

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CommuNety: deep learning-based face recognition system for the prediction of cohesive communities

Shah

Deng

Cheema

et al. 2022

Multimed Tools Appl

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Effective mining of social media, which consists of a large number of users is a challenging task. Traditional approaches rely on the analysis of text data related to users to accomplish this task. However, text data lacks significant information about the social users and their associated groups. In this paper, we propose CommuNety, a deep learning system for the prediction of cohesive networks using face images from photo albums. The proposed deep learning model consists of hierarchical CNN architecture to learn descriptive features related to each cohesive network. The paper also proposes a novel Face Co-occurrence Frequency algorithm to quantify existence of people in images, and a novel photo ranking method to analyze the strength of relationship between different individuals in a predicted social network. We extensively evaluate the proposed technique on PIPA dataset and compare with state-of-the-art methods. Our experimental results demonstrate the superior performance of the proposed technique for the prediction of relationship between different individuals and the cohesiveness of communities.

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Section: Literature Reviewmentioning

confidence: 99%

“…In this section, we describe our proposed recursive face co-occurrence frequency technique for the prediction of communities. The proposed technique is similar to FCON [12], however, it is recursive in nature. A dictionary is first defined to store face co-occurrence frequencies as follows:…”

Section: Recursive Face Co-occurrence Frequencymentioning

confidence: 99%

CommuNety: deep learning-based face recognition system for the prediction of cohesive communities

Shah

Deng

Cheema

et al. 2022

Multimed Tools Appl

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“…The identification of a specific person might be used, according to a rule defined by Loui et al [92], to infer the relevance of a given photo based on the relationship of the people to the photo owner. Recognition can be also used, along with human tagging and some logic formalism (e.g., Markov logic), to retrieve social connections in photo repositories [187,75,140,57].…”

Section: Information Extractionmentioning

confidence: 99%

A survey on automatic techniques for enhancement and analysis of digital photography

2013

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The fast growth in the consumer digital photography industry during the past decade has led to the acquisition and storage of large personal and public digital collections containing photos with different quality levels and redundancy, among other aspects. This naturally increased the difficulty in selecting or modifying those photos. Within the above context, this survey focuses on systematically reviewing the state-of-art on techniques for the enhancement and analysis of digital photos. Nevertheless, it is not within the scope of this survey to review image quality metrics for evaluating degradation due to compression, digital sensor noise, and affine issues. Assuming the photos have good quality in those aspects, this review is centered on techniques that might be useful to automate the task of selecting photos from large collections or to enhance the visual aspect of imperfect photos by using some perceptual measure.

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“…Based on the results of object tagging, we can build a Face Co-Occurrence Networks (FCON) [8] of photos set. FCON is a tuple about two sets ( , ) N V E , E is all binary subset of :…”

Section: A Social Relationship Network Construction Based On Photos mentioning

confidence: 99%

Social Network Construction and Analysis Based on Community Photo Collections with Face Recognition

Sun

Fu³

et al. 2013

2013 Sixth International Conference on Business Intelligence and Financial Engineering

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With the explosion development of multimedia information on the Internet and online sharing community, social network and Community multimedia data have received plenty of attention. In order to analyze and mining the structure and characteristics of online network communities with their large number of multimedia data automatically, we look into community photos as an basic data source for community social network construction and community organization structure analysis. By constructing the social network with community photo collection through face recognition algorithms, social network analysis method is used to analysis the community properties and individual characteristics. The effectiveness of different face recognition algorithms on community network construction is also calculated by three defined variables. Experimental analysis results of a real community album demonstrate the community social network characteristics and the influence brought by face recognition algorithms. The analysis method will provide new approach for using the online multimedia information to understanding the community organization structure and characteristics.

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Leveraging personal photos to inferring friendships in social network services

Cited by 16 publications

References 22 publications

CommuNety: deep learning-based face recognition system for the prediction of cohesive communities

CommuNety: deep learning-based face recognition system for the prediction of cohesive communities

A survey on automatic techniques for enhancement and analysis of digital photography

Social Network Construction and Analysis Based on Community Photo Collections with Face Recognition

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