FotoFile: a consumer multimedia organization and retrieval system
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The mug-shot search problem: a study of the eigenface metric, search strategies, and interfaces in a system for searching facial image data
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Leveraging face recognition technology to find and organize photos
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Bayesian tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Robust multipose face detection in images
IEEE Transactions on Circuits and Systems for Video Technology
EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A novel metrics based on information bottleneck principle for face retrieval
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A bi-objective optimization model for interactive face retrieval
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
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Textual search, the approach used by the majority of existing online dating sites, successfully covers a variety of attributes, such as age range and gender, but falls short when searching for facial features. Meanwhile, by using images as the query in a search, current image-based face-retrieval applications ease the challenge of textual description from users, but only focus on finding the same person. We believe there is a gap that needs to be filled in image-based face retrieval to further support the interpersonal search scenarios on Internet dating sites. Therefore, we are introducing a profile search prototype -- ImLooking - using an augmented image-based face retrieval filter. First, we present a prototype design and offer technical support. In a user study, participants quickly felt at home in user interface and acclimatized to the way the prototype operates. In addition, they reported they enjoyed the interaction process.