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TRECVID 2005 Experiment at Johns Hopkins University: Using Hidden Markov Models for Video Retrieval

Brock Pytlik, Arnab Ghoshal, Damianos G. Karakos, Sanjeev Khudanpur
2005 TREC Video Retrieval Evaluation  
The use of hidden Markov models (HMMs) for the high-level feature detection task of TRECVID 2005 is described.  ...  Results for high-level feature detection are presented on a held-out portion of the manually annotated NIST corpus, as well as the TRECVID 2005 video search collection.  ...  With this consideration, we [7] have recently developed a joint stochastic model, specifically a hidden Markov model (HMM), for images and their accompanying captions.  ... 
dblp:conf/trecvid/PytlikGKK05 fatcat:2kyslm4lfffofk4qmrggvotlwu

Hidden Markov models for automatic annotation and content-based retrieval of images and video

Arnab Ghoshal, Pavel Ircing, Sanjeev Khudanpur
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
An image, represented as sequence of featurevectors characterizing low-level visual features such as color, texture or oriented-edges, is modeled as having been stochastically generated by a hidden Markov  ...  This paper introduces a novel method for automatic annotation of images with keywords from a generic vocabulary of concepts or objects for the purpose of content-based image retrieval.  ...  Section 2 formally describes the hidden Markov model (HMM) used for image annotation, and compares it with two other recently developed techniques for the same task.  ... 
doi:10.1145/1076034.1076127 dblp:conf/sigir/GhoshalIK05 fatcat:gpiuy2ip7zbrfg4jxt3yoxinqy

TRECVID 2005 - An Overview

Paul Over, Tzveta Ianeva, Wessel Kraaij, Alan F. Smeaton
2005 TREC Video Retrieval Evaluation  
Richard Wright at the BBC Archive made the rushes data available and Gary Marchionini and the Open Video Project at the University of North Carolina at Chapel Hill helped us get the NASA videos in MPEG  ...  CMU once again donated a set of features for use by other participants. Columbia University donated story boundaries.  ...  Johns Hopkins University investigated the use of HMMs extended to handle visual and textual features of keyframe images.  ... 
dblp:conf/trecvid/OverIKS05 fatcat:czlfoelhrnaxnnhwr74antamqi

An Introduction to the Special Issue on Event Analysis in Videos

Shih-Fu Chang, Jiebo Luo, Steve Maybank, Dan Schonfeld, Dong Xu
2008 IEEE transactions on circuits and systems for video technology (Print)  
Video Content Analysis and Pattern Mining Zhou and Zhang, in the article entitled "An ICA mixture hidden Markov model for video content analysis," present a new theoretical framework based on the hidden  ...  The authors rely on a layered hidden Markov model (LHMM) to model motion and solve the inference problem.  ... 
doi:10.1109/tcsvt.2008.2007023 fatcat:tw2rwmiaobg7fnu72ky5xdhsom

Front Matter: Volume 8745

Ivan Kadar
2013 Signal Processing, Sensor Fusion, and Target Recognition XXII  
Peri, The Johns Hopkins Univ. Applied Physics Lab.  ...  (United States) SESSION 7 SIGNAL AND IMAGE PROCESSING, AND INFORMATION FUSION APPLICATIONS I 0V Object detection and classification using image moment functions in the applied to video and imagery analysis  ...  FA8750-12-C-0315 Advanced Machine Learning & Statistical Inference Approaches for Big Data Analytics and Information Fusion Proprietary & Confidential  ... 
doi:10.1117/12.2031900 fatcat:dwkpv5gaqfemlpqebcgmquu63i