Michele Merler

Publications
Influence

IBM Research TRECVID-2007 Video Retrieval System

A. Natsev, Joshua R. Smith, +4 authors Michele Merler
Computer Science
TRECVID
2007

In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2007 video retrieval benchmark. Expand

Semantic Model Vectors for Complex Video Event Recognition

Michele Merler, Bert Huang, Lexing Xie, Gang Hua, A. Natsev
Computer Science
IEEE Transactions on Multimedia
1 February 2012

We propose semantic model vectors, an intermediate level semantic representation, as a basis for modeling and detecting complex events in unconstrained real-world videos, such as those from YouTube. Expand

Recognizing Groceries in situ Using in vitro Training Data

Michele Merler, C. Galleguillos, Serge J. Belongie
Computer Science
IEEE Conference on Computer Vision and Pattern…
17 June 2007

We present a new multimedia database of 120 grocery products, GroZi-120. Expand

Diversity in Faces

Michele Merler, N. Ratha, R. Feris, John R. Smith
Computer Science
ArXiv
29 January 2019

Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). Expand

IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems

L. Cao, S. Chang, +10 authors F. Yu
Computer Science
TRECVID
2012

For this year’s TRECVID Multimedia Event Detection task, our team studied high-level visual and audio semantic features, midlevel visual attributes, and sophisticated low-level features. Expand

IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System

Matthew L. Hill, Gang Hua, +6 authors M. Zhou
Computer Science
TRECVID
2010

In this paper, we describe the system jointly developed by IBM Research and Columbia University for video copy detection and multimedia event detection applied to the TRECVID-2010 video retrieval benchmark. Expand

IBM T.J. Watson Research Center, Multimedia Analytics: Modality Classification and Case-Based Retrieval Tasks of ImageCLEF2012

L. Cao, Yuan-Chi Chang, Noel C. F. Codella, Michele Merler, Q. Nguyen, Joshua R. Smith
Computer Science
CLEF
2012

In this paper we present the modeling strategies that were applied by the IBM T.J. Watson research team to the modality classi- cation and case-based retrieval tasks of ImageCLEF 2012. Expand

Large-scale multimedia semantic concept modeling using robust subspace bagging and MapReduce

Rong Yan, M. Fleury, Michele Merler, A. Natsev, Joshua R. Smith
Computer Science
LS-MMRM '09
23 October 2009

We first propose the robust subspace bagging (RB-SBag) algorithm by augmenting random sub space bagging with forward model selection, which achieves a 10-fold speedup with comparable or even better classification performance than baseline SVMs. Expand

Learning to Make Better Mistakes: Semantics-aware Visual Food Recognition

H. Wu, Michele Merler, Rosario Uceda-Sosa, Joshua R. Smith
Computer Science
ACM Multimedia
1 October 2016

We propose a visual food recognition framework that integrates the inherent semantic relationships among fine-grained classes. Expand

You are what you tweet…pic! gender prediction based on semantic analysis of social media images

Michele Merler, L. Cao, Joshua R. Smith
Computer Science
IEEE International Conference on Multimedia and…
6 August 2015

We propose a method to extract user attributes from the pictures posted in social media feeds, specifically gender information, and apply them to the images in each user's feed. Expand

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