Found 165 results
Author Title [ Type(Desc)] Year
Filters: Author is Gerald Friedland  [Clear All Filters]
Conference Paper
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Bozonnet, S., Evans N., Anguera X., Vinyals O., Friedland G., & Fredouille C. (2010).  System Output Combination for Improved Speaker Diarization. 2642-2645.
Egelman, S., Bernd J., Friedland G., & Garcia D. D. (2016).  The Teaching Privacy Curriculum. Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE ’16), Memphis, TN. 591-596.
Elizalde, B. Martinez, Friedland G., Lei H., & Divakaran A. (2012).  There is No Data Like Less Data: Percepts for Video Concept Detection on Consumer-Produced Media. 27-32.
Fanti, G., Finiasz M., Friedland G., & Ramchandran K. (2014).  Toward Efficient, Privacy-Aware Media Classification on Public Databases. 49-56.
Hung, H., & Friedland G. (2008).  Towards Audio-Visual On-Line Diarization of Participants in Group Meetings.
Vinyals, O., & Friedland G. (2008).  Towards Semantic Analysis of Conversations: A System for the Live Identification of Speakers in Meetings. 426-431.
Boakye, K., Vinyals O., & Friedland G. (2008).  Two's a Crowd: Improving Speaker Diarization by Automatically Identifying and Excluding Overlapped Speech Authors. Proceedings of the Annual Conference of the International Speech Communication Association (Interspeech 2008). 32-35.
Gottlieb, L., & Friedland G. (2009).  On the Use of Artificial Conversation Data for Speaker Recognition in Cars. 124-128.
Lei, H., Choi J., Janin A., & Friedland G. (2011).  User Verification: Matching the Uploaders of Videos Across Accounts. 2404-2407.
Friedland, G., Gottlieb L., & Janin A. (2009).  Using Artistic Markers and Speaker Identification for Narrative-Theme Navigation of Seinfeld Episodes. 511-516.
Hung, H., Jayagopi D., Yeo C., Friedland G., Ba S., Odobez J-M., et al. (2007).  Using Audio and Video Features to Classify the Most Dominant Person in Meetings. Proceedings of ACM Multimedia 2007. 835-838.
Friedland, G., Choi J., & Janin A. (2011).  Video2GPS: A Demo of Multimodal Location Estimation on Flickr Videos.
Friedland, G., Yeo C., & Hung H. (2009).  Visual Speaker Localization Aided by Acoustic Models. 195-202.
Lüning, A.., Friedland G., Knipping L., & Rojas R. (2007).  Visualizing Large-Screen Electronic Chalkboard Content on Handheld Devices. Proceedings of the Second IEEE International Workshop on Multimedia Technologies for E-Learning at 9th IEEE Symposium on Multimedia. 369-375.
Elizalde, B. Martinez, Friedland G., & Ni K. (2013).  What You Hear Is What You Get: Audio-Based Video Content Analysis.
Knox, M. Tai, Mirghafori N., & Friedland G. (2012).  Where did I go Wrong?: Identifying Troublesome Segments for Speaker Diarization Systems.
Journal Article
Friedland, G. (2009).  Analytics for Experts. Featured paper in ACM SIGMM Records. 1,
Friedland, G., & Rojas R. (2008).  Anthropocentric Video Segmentation for Lecture Webcasts. EURASIP Journal on Image and Video Processing. 8(2), 
[Anonymous] (2009).  Best Papers from the 10th IEEE International Symposium on Multimedia. (Friedland, G., & Chen S-C., Ed.).International Journal of Semantic Computing. 3,
[Anonymous] (2008).  Best Papers from the Second IEEE International Conference on Semantic Computing (IJSC). (Friedland, G., & Martell C.., Ed.).International Journal of Semantic Computing. 2,
Friedland, G., Knipping L., Hürst W., & Muhlhauser M.. (2009).  Can We Escape the Trough of Disillusionment?--A Perspective on E-learning Technology Research from the ACM Workshop on Educational Multimedia and Multimedia Education. ACM E-Learn Journal.
Friedland, G. (2007).  Computers and Commerce: A Study of Technology and Management at Eckert-Mauchly Computer Company, Engineering Research Associates, and Remington Rand, 1946-1957 (book review). IEEE Annals of the History of Computing. 29(2), 74-77.
Gottlieb, L., Friedland G., Choi J., Kelm P., & Sikora T. (2014).  Creating Experts From the Crowd: Techniques for Finding Workers for Difficult Tasks. IEEE Transactions on Multimedia. 16(7), 2075-2079.
Jing, L., Liu B., Choi J., Janin A., Bernd J., Mahoney M. W., et al. (2017).  DCAR: A Discriminative and Compact Audio Representation for Audio Processing. IEEE Transactions on Multimedia. PP(99),