The world-wide-web has become a large ecosystem that reaches billions of users through information processing and sharing, and most of this information resides in pixels. Web-based services like YouTube and Flickr, and social networks such as Facebook have become more and more popular, allowing people to easily upload, share and annotate massive amounts of images and videos. Vision and social media thus has recently become a very active inter-disciplinary area, involving computer vision, multimedia, machine-learning, information retrieval, and data mining. This workshop aims to bring together leading researchers in the related fields to advocate and promote new research directions for problems involving vision and social media, such as large-scale visual content analysis, search and mining.
We are happy to announce two new invited talks: Pietro Perona, Caltech, USA, and Herve Jegou, INRIA Rennes, France.
- “Weakly Supervised Learning of Object Segmentations from Web-Scale Videos”, Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra (Google Research), Omid Madani (Google Research), Sudheendra Vijayanarasimhan (Google Research), Irfan Essa (Georgia Institute of Technology), James Rehg (Georgia Institute of Technology), Rahul Sukthankar (Google Research & Carnegie Mellon University)
- “Large Vocabularies for Keypoint-based Representation and Matching of Image Patches”, Andrzej Sluzek (Khalifa University)
- “Learning to Match Images in Large-Scale Collections”, Song Cao (Cornell University), Noah Snavely (Cornell University)
- “Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing”, Jiangbo Yuan (Florida State University), Guillaume Gravier, Sebastien Campion (INRIA, France), Xiuwen Liu (Florida State University), Herve Jegou (INRIA, France)
- “Classifier Ensemble Recommendation”, Pyry Matikainen (Carnegie Mellon University), Martial Hebert (Carnegie Mellon University), Rahul Sukthankar (Google Research & Carnegie Mellon University)
- “An Efficient Parallel Strategy for Matching Visual Self-Similarities in Large Image Databases”, Katharina Schwarz (Tuebingen University), Tobias Haeussler, Hendrik Lensch (Tuebingen University)
- “Towards Exhaustive Pairwise Matching in Large Image Collections”, Kumar Srijan (IIIT-Hyderabad), C.V. Jawahar (IIIT-Hyderabad)
- “Ask’nSeek: a new game for object detection and labeling”, Axel Carlier (ENSEEIHT), Oge Marques (Florida Atlantic University), Vincent Charvillat (ENSEEIHT)
- “Linearized Smooth Additive Classifiers”, Subhransu Maji (Toyota Technological Institute at Chicago)
We are happy to announce another invited talk: Lubomir Bourdev who is responsible for computer vision at Facebook.