Fashion-focused creative commons social dataset

Date

2013-05-27

Author

Loni, Babak
Menendez, Maria
Georgescu, Mihai
Galli, Luca
Massari, Claudio
Altıngövde, İsmail Sengör
Martinenghi, Davide
Melenhorst, Mark
Vliegendhart, Raynor
Larson, Martha

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

163
views

0
downloads

In this work, we present a fashion-focused Creative Commons dataset, which is designed to contain a mix of general images as well as a large component of images that are focused on fashion (i.e., relevant to particular clothing items or fashion accessories). The dataset contains 4810 images and related metadata. Furthermore, a ground truth on image's tags is presented. Ground truth generation for large-scale datasets is a necessary but expensive task. Traditional expert based approaches have become an expensive and non-scalable solution. For this reason, we turn to crowdsourcing techniques in order to collect ground truth labels; in particular we make use of the commercial crowdsourcing platform, Amazon Mechanical Turk (AMT). Two different groups of annotators (i.e., trusted annotators known to the authors and crowdsourcing workers on AMT) participated in the ground truth creation. Annotation agreement between the two groups is analyzed. Applications of the dataset in different contexts are discussed. This dataset contributes to research areas such as crowdsourcing for multimedia, multimedia content analysis, and design of systems that can elicit fashion preferences from users.

Subject Keywords

Applied computing, Computers in other domains, Information systems

URI

https://hdl.handle.net/11511/34894

DOI

https://doi.org/10.1145/2483977.2483984

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

The CUBRIK Project: Human-enhanced time-aware multimedia search Fraternali, Piero; Tagliasacchi, Marco; Martinenghi, Davide; Bozzon, Alessandro; Catallo, Ilio; Ciceri, Eleonora; Nucci, Francesco; Croce, Vincenzo; Altıngövde, İsmail Sengör; Siberski, Wolf; Giunchiglia, Fausto; Nejdl, Wolfgang; Larson, Martha; Izquierdo, Ebroul; Daras, Petros; Chrons, Otto; Traphoener, Ralph; Decker, Bjoern; Lomas, John; et.al. (2012-05-21) The Cubrik Project is an Integrated Project of the 7th Framework Programme that aims at contributing to the multimedia search domain by opening the architecture of multimedia search engines to the integration of open source and third party content annotation and query processing components, and by exploiting the contribution of humans and communities in all the phases of multimedia search, from content processing to query processing and relevance feedback processing. The CUBRIK presentation will showcase th...
Design consultancy in Turkey : a study on the business structure, services and clients Sözen, Müzeyyen; Börekçi, Naz Ayşe Güzide Z.; Department of Industrial Engineering (2007) Design consultancy is a service that is given by professional designers to clients to respond to their design requirements. In Turkey, design consultancy services are given through design firms since the 1980s, mostly founded by the early graduates of industrial design. This thesis is carried to recognize the firms that give service in design consultancy sector, to identify the given services as design consultancy and to determine the conditions of design consultancy sector in Turkey through a survey made o...
Probabilistic matrix factorization based collaborative filtering with implicit trust derived from review ratings information Ercan, Eda; Taşkaya Temizel, Tuğba; Department of Information Systems (2010) Recommender systems aim to suggest relevant items that are likely to be of interest to the users using a variety of information resources such as user proﬁles, trust information and users past predictions. However, typical recommender systems suffer from poor scalability, generating incomprehensible and not useful recommendations and data sparsity problem. In this work, we have proposed a probabilistic matrix factorization based local trust boosted recommendation system which handles data sparsity, scalabil...
Hanolistic : a hierarchical automatic image annotation system using holistic approach Öztimur, Özge; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2008) Automatic image annotation is the process of assigning keywords to digital images depending on the content information. In one sense, it is a mapping from the visual content information to the semantic context information. In this thesis, we propose a novel approach for automatic image annotation problem, where the annotation is formulated as a multivariate mapping from a set of independent descriptor spaces, representing a whole image, to a set of words, representing class labels. For this purpose, a hiera...
Architectural programming for achieving value-added design Akınç, Günseli; Elias Özkan, Soofia Tahira; Department of Architecture (2005) Values and concerns of project participants have influence on design quality as well as on the design process itself. These determine the functional, social and æsthetic characteristics of the project that are necessary to achieve client satisfaction. The issues of value and quality are compared within the context of architectural programming, including their theoretical and philosophical ground as well as current management techniques. Value and quality can be misunderstood and confused with each other; th...

Citation Formats

B. Loni et al., “Fashion-focused creative commons social dataset,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34894.