Paper Info
Title
Multimodal Video Retrieval with the 2017 IMOTION System.
Abstract
The IMOTION system is a multimodal content-based video search and browsing application offering a rich set of query modes on the basis of a broad range of different features. It is able to scale with the size of the collection due to its underlying flexible polystore called ADAMpro and its very effective retrieval engine Cineast, optimized for multi-feature fusion. IMOTION is simultaneously geared towards precision-focused searches, i.e., known-item search with image or text queries, and recall-focused, exploratory searches. In this demo, we will present the 2017 IMOTION system deployed on the IACC.3 collection consisting of 600 hours of Internet Archive video, which was also used in the TRECVID 2016 Ad-Hoc Video Search and in the 2017 Video Browser Showdown (VBS) challenge in which IMOTION ranked first. Conference attendees will have the chance to interact with the 2017 IMOTION system and quickly solve various retrieval tasks.
Year
DOI
Venue
2017
10.1145/3078971.3079012
ICMR
Keywords
Field
DocType
Content-based retrieval, Video retrieval, Multi-modal retrieval, Indexing, Video browsing
Video browsing,Human–computer information retrieval,Ranking,Information retrieval,Computer science,TRECVID,Search engine indexing,Video tracking,Multimedia,Visual Word,The Internet
Conference
Citations 
PageRank 
References 
1
0.38
15
Authors
4
Name
Order
Citations
PageRank
Luca Rossetto19221.00
Ivan Giangreco29311.64
Claudiu Tanase3316.05
H. Schuldt49820.60