A tangible interface for browsing digital photo collections

Author(s):  
Shuo Hsiu Hsu ◽  
Sylvie Jumpertz ◽  
Pierre Cubaud
2018 ◽  
pp. 735-753
Author(s):  
Eugene Borovikov ◽  
Szilard Vajda ◽  
Michael Gill

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.


2010 ◽  
Vol 10 (1) ◽  
pp. 49-57
Author(s):  
Nor Azman Ismail ◽  
Ann O'Brien

When personal photo collections get large retrieval of specific photos or sets of photos becomes difficult mainly due to the fairly primitive means by which they are organised. Commercial photo handling systems help but often have only elementary searching features. In this paper, we describe an interactive web-based photo retrieval system that enables personal digital photo users to accomplish photo browsing by using multimodal interaction. This system not only enables users to use mouse click input modalities but also speech input modality to browse their personal digital photos in the World Wide Web (WWW) environment. The prototype system and it architecture utilise web technology which was built using web programming scripting (JavaScript, XHTML, ASP, XML based mark-up language) and image database in order to achieve its objective. All prototype programs and data files including the user’s photo repository, profiles, dialogues, grammars, prompt, and retrieval engine are stored and located in the web server. Our approach also consists of human-computer speech dialogue based on photo browsing of image content by four main categories (Who? What? When? and Where?). Our user study with 20 digital photo users showed that the participants reacted positively to their experience with the system interactions.


Author(s):  
Eugene Borovikov ◽  
Szilárd Vajda ◽  
Girish Lingappa ◽  
Michael C Bonifant

Modern digital photo collections contain vast multitudes of high-resolution color images, many containing faces, which are desirable to retrieve visually. This poses a problem for effective image browsing and calls for efficient Content Based Image Retrieval (CBIR) capabilities ensuring near-instantaneous visual query turn-around. This in turn necessitates parallelization of many existing image processing and information retrieval algorithms that can no longer satisfy the modern user demands, when executed sequentially. Hence a practical approach to Face Image Retrieval (FIR) is presented. It utilizes multi-core processing architectures to implement its major modules (e.g. face detection and matching) efficiently without sacrificing the image retrieval accuracy. The integration of FIR into a web-based family reunification system demonstrates the practicality of the proposed method. Several accuracy and speed evaluations on real-word data are presented and possible CBIR extensions are discussed.


Author(s):  
Mor Naaman ◽  
Susumu Harada ◽  
QianYing Wang ◽  
Hector Garcia-Molina ◽  
Andreas Paepcke

2011 ◽  
Vol 6 (1) ◽  
pp. 24 ◽  
Author(s):  
Laurie Bridges ◽  
Tiah Edmunson-Morton

Objective – This study investigated the image-seeking preferences of university freshmen to gain a better understanding of how they search for pictures for assignments. Methods – A survey was emailed to a random sample of 1,000 freshmen enrolled at Oregon State University in the fall of 2009. A total of 63 surveys were returned. Results – The majority of students indicated they would use Google to find a picture. Nineteen respondents said they would use a library, librarians, and/or archives. Conclusions – The results indicate the majority of students in our study would use Google to find an image for coursework purposes; yet the students who suggested they would use Google did not mention evaluating the images they might find or have concerns about copyright issues. Undergraduate students would benefit from having visual literacy integrated into standard information literacy instruction to help them locate, evaluate, and legally use the images they find online. In addition, libraries, librarians, archivists, and library computer programmers should work to raise the rankings of library digital photo collections in online search engines like Google.


Author(s):  
Davi Oliveira Serrano de Andrade ◽  
Savyo Igor da Nóbrega Santos ◽  
Hugo Feitosa de Figueirêdo ◽  
Cláudio de Souza Baptista ◽  
Joseana Macêdo Fechine Régis de Araújo

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