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 Alan Hanjalic

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Average citations per article4.75
Citation Count380
Publication count80
Publication years1999-2017
Available for download42
Average downloads per article331.10
Downloads (cumulative)13,906
Downloads (12 Months)1,102
Downloads (6 Weeks)152
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55 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2017 MM '17: Proceedings of the 25th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 24
Downloads (6 Weeks): 84,   Downloads (12 Months): 555,   Downloads (Overall): 1,331

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Cross-modal retrieval aims to enable flexible retrieval experience across different modalities ( e.g., texts vs. images). The core of cross-modal retrieval research is to learn a common subspace where the items of different modalities can be directly compared to each other. In this paper, we present a novel Adversarial Cross-Modal ...
Keywords: adversarial learning, cross-modal retrieval, modality gap

2
January 2017 Image and Vision Computing: Volume 57 Issue C, January 2017
Publisher: Butterworth-Heinemann
Bibliometrics:
Citation Count: 0

Video face clustering is a fundamental step in automatically annotating a video in terms of when and where (i.e., in which video shot and where in a video frame) a given person is visible. State-of-the-art face clustering solutions typically rely on the information derived from visual appearances of the face ...
Keywords: Re-identification, Video face annotation, Face clustering

3
March 2016 Computer Vision and Image Understanding: Volume 144 Issue C, March 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

We propose a semi-automatic annotation system for large symphonic orchestras videos.We leverage video redundancy, image clustering, and human annotation.Our method successfully deals with several intra-class variability issues.Human annotation effort reduced while maintaining high level of output quality.Comprehensive analysis of the impact of different modules on the overall performance. Information on ...
Keywords: Diarization, Music information retrieval, Cross-modal analysis, Human-object interaction, Clustering

4 published by ACM
October 2012 MM '12: Proceedings of the 20th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 10,   Downloads (Overall): 176

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In this extended abstract, we present a novel story-driven approach to soundtrack retrieval for user-generated videos. Cinematic knowledge on cross-modal associations is exploited through folksonomic story text retrieval from collaborative online metadata resources. Subsequently, audiovisual synchronization is applied based on high-level features described by users. The approach is demonstrated in ...
Keywords: audiovisual synchronization, cross-modal connotation, folksonomy, multimodal techniques, popular media, web video

5 published by ACM
August 2012 SIGIR '12: Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 50
Downloads (6 Weeks): 9,   Downloads (12 Months): 100,   Downloads (Overall): 991

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In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filtering (CF). Much of the past work on CF has not focused on evaluation metrics that lead to good top-N recommendation lists in designing recommendation ...
Keywords: implicit feedback, tensor factorization, mean average precision, context-aware recommendation, collaborative filtering

6 published by ACM
August 2012 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM): Volume 8 Issue 3, July 2012
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2,   Downloads (12 Months): 15,   Downloads (Overall): 434

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Content-based web image retrieval based on the query-by-example (QBE) principle remains a challenging problem due to the semantic gap as well as the gap between a user's intent and the representativeness of a typical image query. In this article, we propose to address this problem by integrating query-related contextual information ...
Keywords: Image retrieval, context-based web image retrieval

7
February 2012 IEEE Transactions on Multimedia: Volume 14 Issue 1, February 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

The nine papers in this special section on object and event classification in large-scale video collections can be categorized into four themes: video indexing, concept detection, video summarization, and event recognition.

8
January 2012 MMM'12: Proceedings of the 18th international conference on Advances in Multimedia Modeling
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Research in Multimedia Information Retrieval (MIR) aims at matching multimedia content and user needs and so at bringing image, audio and video content together with users. Users expectations regarding multimedia content access in terms of semantically rich and personalized relevance criteria have always been high and have imposed high demands ...

9
December 2011 IEEE Transactions on Multimedia: Volume 13 Issue 6, December 2011
Publisher: IEEE Press
Bibliometrics:
Citation Count: 6

Object retrieval aims at retrieving images containing objects similar to the query object captured in the region of interest (ROI) of the query image. Boosted by the invention and wide popularity of SIFT image features and bag-of-visual-words image representation, object retrieval has progressed significantly in the past years and has ...

10 published by ACM
November 2011 MIRUM '11: Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Publisher: ACM
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 2,   Downloads (12 Months): 29,   Downloads (Overall): 712

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Music is a widely enjoyed content type, existing in many multifaceted representations. With the digital information age, a lot of digitized music information has theoretically become available at the user's fingertips. However, the abundance of information is too large-scaled and too diverse to annotate, oversee and present in a consistent ...
Keywords: cross-domain methodology transfer, multimodal music processing, music information retrieval, user-centered design

11 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Downloads (Overall): 135

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This outline summarizes our tutorial "Frontiers in Multimedia Search", whose goal is to provide insights into the most recent developments in the field of multimedia retrieval and to identify the issues and bottlenecks that could determine the directions of research focus for the coming years. We present an overview of ...
Keywords: search, retrieval, tutorial, multimedia

12 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 19,   Downloads (Overall): 147

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The 'Wonderlands of Size and Scale' system extends Flickr search functionality with a mechanism that exploits information implicit in image tag sets to filter images on the basis of characteristics related to size and scale. The innovative contribution of the 'Wonderlands' system is threefold: first, its use of an understanding ...
Keywords: image understanding, real-world size, scale, tags

13 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 9,   Downloads (12 Months): 16,   Downloads (Overall): 156

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Likely variations in the capture conditions (e.g. light, blur, scale, occlusion) and in the viewpoint between the query image and the images in the collection are the factors due to which image retrieval based on the Query-by-Example (QBE) principle is still not reliable enough. In this paper, we propose a ...
Keywords: video-based image retrieval, content-based image retrieval

14 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 3,   Downloads (12 Months): 14,   Downloads (Overall): 327

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Multimedia information retrieval stands to benefit from the availability of additional information about tags and how they relate to the content visually depicted in images. We propose a generic approach that contributes to improving the informativeness of image tags by combining generalizations about the distributional tendencies of physical objects in ...
Keywords: image annotation, real-world scale, selectional restrictions, size, crowdsourcing, lexico-syntactic patterns, user-contributed tags

15 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 142

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Visual reranking aims at improving the precision of text-based Web image search. In this paper we propose to combine two learning strategies for deriving the reranking model: learning from search engine and learning from human supervision . The first strategy learns the reranking model in a pseudo-supervised fashion by interpreting ...
Keywords: learning to rerank, visual reranking, image search reranking

16 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 4,   Downloads (12 Months): 15,   Downloads (Overall): 323

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This paper presents an automatic approach that uses community-contributed images to create representative and diverse visual summaries of specific geographic areas. Complex relations between images, extracted visual features, text associated with the images as well as users and their social network are modeled using a multimodal graph. To compute affinities ...
Keywords: image set representativeness, random walk with restarts, image set diversity, social media, visual summaries of geographic areas

17 published by ACM
October 2011 CAMRa '11: Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 177

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This paper studies the rater identification problem in recommender systems. We propose to approach rater identification by fusing influence from various factors that relate to users. The rater likelihood is modeled from a probabilistic point of view as the conditional probability of a user given sources of contextual information, resulting ...
Keywords: context-aware recommendation, rater identification, random walk with restart, recommender systems, graph

18
August 2011 Journal of Ambient Intelligence and Smart Environments: Volume 3 Issue 3, August 2011
Publisher: IOS Press
Bibliometrics:
Citation Count: 1

Object detection is a critical step in automated surveillance. A common approach to building object detectors involves statistical learning techniques using as input large annotated data sets. However, due to inevitable limitations of a typical training data set, this supervised approach is unsuitable for building a generic surveillance system applicable ...
Keywords: Surveillance, image set clustering, information fusion, object detection, unsupervised learning

19
July 2011 UMAP'11: Proceedings of the 19th international conference on User modeling, adaption, and personalization
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 14

Recommender systems generally face the challenge of making predictions using only the relatively few user ratings available for a given domain. Cross-domain collaborative filtering (CF) aims to alleviate the effects of this data sparseness by transferring knowledge from other domains. We propose a novel algorithm, Tag-induced Cross-Domain Collaborative Filtering (TagCDCF), ...
Keywords: cross domain collaborative filtering, recommender systems, matrix factorization, collaborative filtering, tag

20
April 2011 ECIR'11: Proceedings of the 33rd European conference on Advances in information retrieval
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

A reranking algorithm, Multi-Rerank, is proposed to refine the recommendation list generated by collaborative filtering approaches. Multi-Rerank is capable of capturing multiple self-contained modalities, i.e., item modalities extractable from user-item matrix, to improve recommendation lists. Experimental results indicate that Multi-Rerank is effective for improving various CF approaches and additional benefits ...
Keywords: collaborative filtering, multiple modalities, self-contained modalities, recommender systems, reranking



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