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» Using High-Level Semantic Features in Video Retrieval
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ICIP
2001
IEEE
15 years 11 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
ICDE
2004
IEEE
108views Database» more  ICDE 2004»
15 years 11 months ago
Using Stream Semantics for Continuous Queries in Media Stream Processors
In this demonstration paper we present a stream query processor capable of handling media (audio, video, motion ...) and feature streams. We show that due to their inherent semant...
Amarnath Gupta, Bin Liu, Pilho Kim, Ramesh Jain
TRECVID
2007
14 years 11 months ago
PicSOM Experiments in TRECVID 2007
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multipl...
Markus Koskela, Mats Sjöberg, Ville Viitaniem...
PR
2008
144views more  PR 2008»
14 years 9 months ago
Gesture spotting for low-resolution sports video annotation
Human gesture recognition plays an important role in automating the analysis of video material at a high level. Especially in sports videos, the determination of the player's...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
ECIR
2004
Springer
14 years 11 months ago
NNk Networks for Content-Based Image Retrieval
Abstract. This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a ...
Daniel Heesch, Stefan M. Rüger