Milind Naphade
Zitiert von
Zitiert von
Large-scale concept ontology for multimedia
M Naphade, JR Smith, J Tesic, SF Chang, W Hsu, L Kennedy, ...
IEEE multimedia 13 (3), 86-91, 2006
Smarter cities and their innovation challenges
M Naphade, G Banavar, C Harrison, J Paraszczak, R Morris
Computer 44 (6), 32-39, 2011
Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification
Z Tang, M Naphade, MY Liu, X Yang, S Birchfield, S Wang, R Kumar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
IBM Research TRECVID-2003 Video Retrieval System.
A Amir, J Argillander, M Campbell, A Haubold, G Iyengar, S Ebadollahi, ...
Probabilistic multimedia objects (multijects): A novel approach to video indexing and retrieval in multimedia systems
MR Naphade, T Kristjansson, B Frey, TS Huang
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat …, 1998
Semantic indexing of multimedia content using visual, audio, and text cues
WH Adams, G Iyengar, CY Lin, MR Naphade, C Neti, HJ Nock, JR Smith
EURASIP Journal on Advances in Signal Processing 2003, 1-16, 2003
The 7th ai city challenge
M Naphade, S Wang, DC Anastasiu, Z Tang, MC Chang, Y Yao, L Zheng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Multimedia semantic indexing using model vectors
JR Smith, M Naphade, A Natsev
2003 International Conference on Multimedia and Expo. ICME'03. Proceedings …, 2003
A high-performance shot boundary detection algorithm using multiple cues
MR Naphade, R Mehrotra, AM Ferman, J Warnick, TS Huang, AM Tekalp
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat …, 1998
Factor graph framework for semantic video indexing
MR Naphade, IV Kozintsev, TS Huang
IEEE Transactions on circuits and systems for video technology 12 (1), 40-52, 2002
Novel scheme for fast and efficent video sequence matching using compact signatures
MR Naphade, MM Yeung, BL Yeo
Storage and Retrieval for Media Databases 2000 3972, 564-572, 1999
Pamtri: Pose-aware multi-task learning for vehicle re-identification using highly randomized synthetic data
Z Tang, M Naphade, S Birchfield, J Tremblay, W Hodge, R Kumar, ...
Proceedings of the IEEE/CVF international conference on computer vision, 211-220, 2019
On the detection of semantic concepts at TRECVID
MR Naphade, JR Smith
Proceedings of the 12th annual ACM international conference on Multimedia …, 2004
Multi-modal fusion in content-based retrieval
CY Lin, A Natsev, MR Naphade, JR Smith, BL Tseng
US Patent 7,610,306, 2009
A light scale concept ontology for multimedia understanding for TRECVID 2005
MR Naphade, L Kennedy, JR Kender, SF Chang, JR Smith, P Over, ...
IBM Research Technical Report, 2005
Extracting semantics from audio-visual content: the final frontier in multimedia retrieval
MR Naphade, TS Huang
IEEE Transactions on Neural Networks 13 (4), 793-810, 2002
Method and apparatus for active annotation of multimedia content
S Basu, CY Lin, M Naphade, J Smith, B Tseng
US Patent App. 10/056,546, 2004
Simulating content consistent vehicle datasets with attribute descent
Y Yao, L Zheng, X Yang, M Naphade, T Gedeon
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Learning the semantics of multimedia queries and concepts from a small number of examples
A Natsev, MR Naphade, J TešiĆ
Proceedings of the 13th annual ACM international conference on Multimedia …, 2005
Method and apparatus for content representation and retrieval in concept model space
JR Smith, M Naphade, A Natsev
US Patent 7,124,149, 2006
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