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Multimedia databases and digital libraries

Framework For Evaluation Of Sound Event Detection In Web Videos


The largest source of sound events is web videos. Most videos lack sound event labels at segment level, however, a significant number of them do respond to text queries, from a match found using metadata by search engines. In this paper we explore the extent to which a search query can be used as the true label for detection of sound events in videos. We present a framework for large-scale sound event recognition on web videos. The framework crawls videos using search queries corresponding to 78 sound event labels drawn from three datasets.

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Authors:
Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj
Submitted On:
20 April 2018 - 9:45am
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ICASSP 2018 Framework for Evaluation of Sound Event Detection in Web Videos Poster

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icassp-poster-framework.pdf

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[1] Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj, "Framework For Evaluation Of Sound Event Detection In Web Videos", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2733. Accessed: Aug. 19, 2018.
@article{2733-18,
url = {http://sigport.org/2733},
author = {Rohan Badlani; Ankit Shah; Benjamin Elizalde; Anurag Kumar; Bhiksha Raj },
publisher = {IEEE SigPort},
title = {Framework For Evaluation Of Sound Event Detection In Web Videos},
year = {2018} }
TY - EJOUR
T1 - Framework For Evaluation Of Sound Event Detection In Web Videos
AU - Rohan Badlani; Ankit Shah; Benjamin Elizalde; Anurag Kumar; Bhiksha Raj
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2733
ER -
Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj. (2018). Framework For Evaluation Of Sound Event Detection In Web Videos. IEEE SigPort. http://sigport.org/2733
Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj, 2018. Framework For Evaluation Of Sound Event Detection In Web Videos. Available at: http://sigport.org/2733.
Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj. (2018). "Framework For Evaluation Of Sound Event Detection In Web Videos." Web.
1. Rohan Badlani, Ankit Shah, Benjamin Elizalde, Anurag Kumar, Bhiksha Raj. Framework For Evaluation Of Sound Event Detection In Web Videos [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2733

IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS


Multi-View Embedding for Image Sentiment Analysis

As Internet users increasingly post images to express their daily sentiment and emotions, the analysis of sentiments in user-generated images is of increasing importance for developing several applications. Most conventional methods of image sentiment analysis focus on the design of visual features, and the use of text associated to the images has not been sufficiently investigated. This paper proposes a novel approach that exploits latent correlations among multiple views: visual and textual views, and a sentiment view constructed using SentiWordNet.

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Authors:
Marie Katsurai,Shin'ichi Satoh
Submitted On:
11 March 2016 - 9:18pm
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icassp2016_katsurai.pdf

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[1] Marie Katsurai,Shin'ichi Satoh, "IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/619. Accessed: Aug. 19, 2018.
@article{619-16,
url = {http://sigport.org/619},
author = {Marie Katsurai;Shin'ichi Satoh },
publisher = {IEEE SigPort},
title = {IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS},
year = {2016} }
TY - EJOUR
T1 - IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS
AU - Marie Katsurai;Shin'ichi Satoh
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/619
ER -
Marie Katsurai,Shin'ichi Satoh. (2016). IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS. IEEE SigPort. http://sigport.org/619
Marie Katsurai,Shin'ichi Satoh, 2016. IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS. Available at: http://sigport.org/619.
Marie Katsurai,Shin'ichi Satoh. (2016). "IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS." Web.
1. Marie Katsurai,Shin'ichi Satoh. IMAGE SENTIMENT ANALYSIS USING LATENT CORRELATIONS AMONG VISUAL, TEXTUAL, AND SENTIMENT VIEWS [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/619