Image-based face retrieval in online dating profile search

09.06.2017

image-based face retrieval in online dating profile search

A Bi-objective Optimization Model for Interactive Face Retrieval. The ACM Digital Library is published by the Association for Computing Machinery. Image-based searching has been used in other applications, such as facial-recognition, to ease the challenge of textually describing physical attributes. Imageb-ased face may be located using a conventional face detection system such as, for example, the three-step face detector described by Xiao et al. The resultant images golf dating displayed based at least in part on one or more facial features. Such applications typically do not allow users to search based on preferred facial features of the query image. The query image may be provided by inputting a query image e. 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 image-based face retrieval in online dating profile search person. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. Guoping QiuKin Man LamHitoshi KiyaXiang-Yang XueC. The image-based search described herein is fzce limited to online dating image-based face retrieval in online dating profile search, however, and applies to other contexts and environments. Zhi-Hua Zhou from Nanjing University, Dr.

Do you want to read the rest of this conference paper? Here are the instructions how to enable JavaScript in your web browser. 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.

Citations Citations 6 References References A Novel Metrics Based on Information Bottleneck Principle for Face Retrieval. In this paper, we propose a novel metrics for statistical features of images based on Information Bottleneck principle IBP. Rather than measure the differences among images with classical distance, our model takes the attributes of feature space into consideration.

Through evaluating the loss of information of image database, our model is especially designed for the type of features bearing image-based face retrieval in online dating profile search attributes such as histograms, moments etc. The statistical feature is adopted to denote the information of the image database and our metrics measures the distance between two images with the amount of decreased information due to combine them as one category.

The proposed metrics is validated in face retrieval with the dominant Local Binary Pattern LBP feature. Experimental results on FERET face database show image-based face retrieval in online dating profile search our model possesses preferable performance. Qiyun Cai Yuchun Fang Jie Luo Wang Dai Wang Dai. Patch-guided facial image inpainting by shape propagation. Images with human faces comprise an essential part in the imaging realm.

Occlusion or damage in facial portions will bring a remarkable discomfort and information loss. Inpainting is a set of image processing methods to recover missing image portions. We extend the image inpainting methods by introducing facial domain knowledge. With the support of a face database, our approach propagates structural information, i. Using the inferred structural information as guidance, an exemplar-based image image-based face retrieval in online dating profile search algorithm is employed to copy patches in the same face from the source portion to the missing portion.

This newly proposed concept of facial image inpainting outperforms the traditional inpainting methods by propagating the facial shapes from a face database, and avoids the problem of variations in imaging conditions from different images by inferring colors and textures from the same face image. Our system produces seamless faces that are hardly seen drawbacks.

Yue-ting Zhuang Yu-shun Wang Timothy K. ABSTRACT Digital photo management,is becoming,indispensable for the explosively growing family photo albums due you have been disconnected from matchmaking hon the rapid popularization of digital cameras image-based face retrieval in online dating profile search mobile phone cameras. In an effective photo management,system photo annotation is the most challenging task.

In this paper, we develop several innovative interaction techniques for semi-automatic photo annotation. Compared with traditional image-based face retrieval in online dating profile search systems, our approach provides the following new features: Our results show that these technologies provide a more user friendly interface for the annotation of person name, location, and event, and thus substantially improve the annotation performance,especially for a large photo album.

ACM Classification Keywords H. Comparative analysis of simple facial features extractors. In the article a certain class of feature extractors for face recognition is presented. The extraction is based on simple approaches: The experiments performed on several facial image databases BioID [4], ORL face database [27], FERET [30] show that face recognition using this class of extractors is particularly efficient and fast, and can have straightforward implementations in software and hardware systems.

They can also be used in fast face recognition system involving feature-integration, as well as a tool for similar faces retrieval in 2-tier systems as initial processing, before exact face recognition. A Pivot-Based Distributed Pseudo Facial Image Retrieval in Manifold Spaces: The research of cognitive science indicates that manifold-learning-based facial image retrieval is based on human perception, which can accurately capture the intrinsic similarity of two facial images.

The paper proposes a pivot-based Distributed Pseudo Similarity Retrieval method called DPSR in manifold spaces with the aid of a adjacency distance list ADL. Specifically, we first construct a two dimensional array, called ADL which records the pair-wise distance between any two facial images with a constraint in the database. Extensive experimental studies show that the DPSR outperforms the conventional sequential scan in manifold spaces by a large margin, especially for the large high-dimensional datasets.

A Bi-objective Optimization Model for Interactive Face Retrieval. In this paper, based on Bayesian relevance feedback methods, we propose a novel interactive face retrieving model based on two objective functions, one is the Maximum a Posterior MAP and image-based face retrieval in online dating profile search other is maximization of mutual information. The proposed bi-objective optimization model aims at minimizing both the number of interactive iterations and the average length of iterations.

Moreover, we deduce a top-bottom search algorithm to solve the proposed. Experiments with real testers prove that the proposed algorithm could largely improve the interactive searching efficiency in face databases.

wherein the plurality of stored images of faces to which the query image is prompting the user to enter profile information about the user including a picture of the An image - based online dating service at least partially implemented by . readily be applied to image - based face retrieval for online dating. Image - based face retrieval in online dating profile search. This article takes as a point of departure Erving Goffman`s () ideas and the self-discrepancy. marriage not dating online pl dating meeting parents dating website common interests country boy and city girl dating how to break online dating addiction. 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.