publication . Part of book or chapter of book . Conference object . Other literature type . 2016

Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers

Symeon Papadopoulos;
Open Access
  • Published: 31 Dec 2016
  • Publisher: Springer International Publishing
Abstract
The problem of Near-Duplicate Video Retrieval (NDVR) has attracted increasing interest due to the huge growth of video content on the Web, which is characterized by high degree of near duplicity. This calls for efficient NDVR approaches. Motivated by the outstanding performance of Convolutional Neural Networks (CNNs) over a wide variety of computer vision problems, we leverage intermediate CNN features in a novel global video representation by means of a layer-based feature aggregation scheme. We perform extensive experiments on the widely used CC_WEB_VIDEO dataset, evaluating three popular deep architectures (AlexNet, VGGNet, GoogLeNet) and demonstrating that t...
Subjects
free text keywords: Near-duplicate, CNNs, Bag of keyframes, Video retrieval, Computer vision, Computer science, Feature aggregation, Pattern recognition, Artificial intelligence, business.industry, business, Convolutional neural network
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
Download fromView all 4 versions
https://zenodo.org/record/2406...
Part of book or chapter of book
Provider: UnpayWall
ZENODO
Conference object . 2016
Provider: ZENODO
http://dx.doi.org/10.1007/978-...
Other literature type . 2017
Provider: Datacite
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Part of book or chapter of book . Conference object . Other literature type . 2016

Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers

Symeon Papadopoulos;