Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive image retrieval using a Graph model for semantic feature integration
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Diversifying the image retrieval results
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study
Data & Knowledge Engineering
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
What Else Is There? Search Diversity Examined
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Diversity in photo retrieval: overview of the ImageCLEFPhoto task 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Summarizing tourist destinations by mining user-generated travelogues and photos
Computer Vision and Image Understanding
Near2me: an authentic and personalized social media-based recommender for travel destinations
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
Exploring and browsing photos through characteristic geographic tag regions
Proceedings of the 20th ACM international conference on Multimedia
What happened near big ben: event-driven landmark mining from flickr
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Uncovering locally characterizing regions within geotagged data
Proceedings of the 22nd international conference on World Wide Web
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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 between nodes in the graph we rely on the proven concept of random walk with restarts. The novelty of our approach lies in its use of the multimodal graph to create a diverse, yet representative, image set. Further, we introduce an edge-weighting mechanism for the fusion of heterogeneous modalities. We evaluate our summaries with a new protocol that tests for representativeness and diversity using image geo-coordinates and is independent of the need for human evaluators. The experiments, performed on a set of Flickr images, demonstrate the effectiveness of our approach.