NDLI: Uploader Intent for Online Video: Typology, Inference, and Applications

Content Provider	IEEE Xplore Digital Library
Author	Kofler, C. Bhattacharya, S. Larson, M. Tao Chen Hanjalic, A. Shih-Fu Chang
Copyright Year	1999
Abstract	We investigate automatic inference of uploader intent for online video, i.e., prediction of the reason for which a user has uploaded a particular video to the Internet. Users upload video for specific reasons, but rarely state these reasons explicitly in the video metadata. Information about the reasons motivating uploaders has the potential ultimately to benefit a wide range of application areas, including video production, video-based advertising , and video search. In this paper, we apply a combination of social-Web mining and crowdsourcing to arrive at a typology that characterizes the uploader intent of a broad range of videos. We then use a set of multimodal features, including visual semantic features, found to be indicative of uploader intent in order to classify videos automatically into uploader intent classes. We evaluate our approach on a dataset containing ca. 3K crowdsourcing-annotated videos and demonstrate its usefulness in prediction tasks relevant to common application areas.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	1200
Ending Page	1212
Page Count	13
File Size	2042424
File Format	PDF
ISSN	15209210
Volume Number	17
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Crowdsourcing YouTube Visualization Manuals Feature extraction Production video uploader intent indexing search intent video audience video popularity video search
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Intent-Aware Video Search Result Optimization

Broadcasting Oneself: Visual Discovery of Vlogging Styles

A Gram-Based String Paradigm for Efficient Video Subsequence Search

Mining Crowdsourced First Impressions in Online Social Video

Similarity Search in Animal Sound Databases

On Generating Content-Oriented Geo Features for Sensor-Rich Outdoor Video Search

BM25 With Exponential IDF for Instance Search

Batch Nearest Neighbor Search for Video Retrieval

Exploiting the Deep-Link Commentsphere to Support Non-Linear Video Access

Uploader Intent for Online Video: Typology, Inference, and Applications

Similar Documents

Intent-Aware Video Search Result Optimization

Broadcasting Oneself: Visual Discovery of Vlogging Styles

A Gram-Based String Paradigm for Efficient Video Subsequence Search

Mining Crowdsourced First Impressions in Online Social Video

Similarity Search in Animal Sound Databases

On Generating Content-Oriented Geo Features for Sensor-Rich Outdoor Video Search

BM25 With Exponential IDF for Instance Search

Batch Nearest Neighbor Search for Video Retrieval

Exploiting the Deep-Link Commentsphere to Support Non-Linear Video Access

Uploader Intent for Online Video: Typology, Inference, and Applications