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Uploader Intent for Online Video: Typology, Inference, and Applications.

, , , , , and . IEEE Trans. Multim., 17 (8): 1200-1212 (2015)

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User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges., , and . ACM Comput. Surv., 49 (2): 36:1-36:37 (2016)Intent-Aware Video Search Result Optimization., , and . IEEE Trans. Multim., 16 (5): 1421-1433 (2014)How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images., , , and . ACM Multimedia, page 397-406. ACM, (2014)Uploader Intent for Online Video: Typology, Inference, and Applications., , , , , and . IEEE Trans. Multim., 17 (8): 1200-1212 (2015)Reading between the tags to predict real-world size-class for visually depicted objects in images., , and . ACM Multimedia, page 273-282. ACM, (2011)Search Personalization at Netflix., , , , and . WWW (Companion Volume), page 756-758. ACM, (2023)An Exploratory Study on the Explicitness of User Intentions in Digital Photo Retrieval, and . Proceedings of 12th International Conference on Knowledge Management and Knowledge Technologies (I-Know 2009), (September 2009)Alice's worlds of wonder: exploiting tags to understand images in terms of size and scale., , and . ACM Multimedia, page 643-646. ACM, (2011)Investigating Factors Influencing Crowdsourcing Tasks with High Imaginative Load, , , , and . Proceedings WSDM 2011 Workshop on Crowdsourcing for Search and Data Mining (CSDM 2011), page 27-30. (2011)To Seek, Perchance to Fail: Expressions of User Needs in Internet Video Search., , and . ECIR, volume 6611 of Lecture Notes in Computer Science, page 611-616. Springer, (2011)