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CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after automatic retrieval has arrange the images in expected or...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
CIVR
2004
Springer
205views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Finding Person X: Correlating Names with Visual Appearances
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...
CIVR
2007
Springer
158views Image Analysis» more  CIVR 2007»
13 years 8 months ago
How many high-level concepts will fill the semantic gap in news video retrieval?
A number of researchers have been building high-level semantic concept detectors such as outdoors, face, building, etc., to help with semantic video retrieval. Using the TRECVID v...
Alexander G. Hauptmann, Rong Yan, Wei-Hao Lin
BTW
2007
Springer
292views Database» more  BTW 2007»
13 years 8 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
CIVR
2010
Springer
160views Image Analysis» more  CIVR 2010»
13 years 9 months ago
Today's and tomorrow's retrieval practice in the audiovisual archive
Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasing...
Bouke Huurnink, Cees G. M. Snoek, Maarten de Rijke...
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
13 years 9 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
13 years 9 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
MM
2003
ACM
160views Multimedia» more  MM 2003»
13 years 9 months ago
VideoQA: question answering on news video
When querying a news video archive, the users are interested in retrieving precise answers in the form of a summary that best answers the query. However, current video retrieval s...
Hui Yang, Lekha Chaisorn, Yunlong Zhao, Shi-Yong N...
MM
2003
ACM
115views Multimedia» more  MM 2003»
13 years 9 months ago
Extracting information about emotions in films
We present a method being developed to extract information about characters’ emotions in films. It is suggested that this information can help describe higher levels of multimed...
Andrew Salway, Mike Graham
MM
2004
ACM
102views Multimedia» more  MM 2004»
13 years 10 months ago
The relative effectiveness of concept-based versus content-based video retrieval
Three video search systems were compared in the interactive search task at the TRECVID 2003 workshop: a text-only system, which searched video shots through transcripts; a feature...
Meng Yang, Barbara M. Wildemuth, Gary Marchionini