Image Sequence Retrieval for Forecasting Weather Radar Echo Pattern(Special Issue on Machine Vision Applications)
スポンサーリンク
概要
- 論文の詳細を見る
A novel method is proposed to retrieve image sequences with the goal of forecasting complex and time-varying natural patterns. To that end, we introduce a framework called Memory-Based Forecasting ; it provides forecast information based on the temporal development of past retrieved sequences. This paper targets the radar echo patterns in weather radar images, and aims to realize an image retrieval method that supports weather forecasters in predicting local precipitation. To characterize the radar echo patterns, an appearance-based representation of the echo pattern, and its velocity field are employed. Temporal texture features are introduced to represent local pattern features including non-rigid complex motion. Furthermore, the temporal development of a sequence is represented as paths in eigenspaces of the image features, and a normalized distance between two sequences in the eigenspace is proposed as a dissimilarity measure that is used in retrieving similar sequences. Several experiments confirm the good performance of the proposed retrieval scheme, and indicate the predictability of the image sequence.
- 社団法人電子情報通信学会の論文
- 2000-07-25
著者
-
Suzuki Satoshi
Multimedia Business Department Ntt East Corp.
-
HORIKOSHI TSUTOMU
Department of Medicine and Molecular Science, Gunma University Graduate School of Medicine
-
Horikoshi Tsutomu
Ntt Cyper Space Laboratories
-
OTSUKA Kazuhiro
NTT Cyper Space Laboratories
-
KOJIMA Haruhiko
NTT Cyper Space Laboratories
-
Otsuka Kazuhiro
Ntt Communication Science Laboratories Ntt Corp.
関連論文
- Development and evaluation of FSSG : frequency scale for the symptoms of GERD
- NUMERICAL MODIFICATION OF THE LOS ANGELES CLASSIFICATION OF GASTROESOPHAGEAL REFLUX DISEASE FAILS TO DECREASE OBSERVER VARIATION
- Guidelines for the Diagnosis and Treatment of GERD
- Image Sequence Retrieval for Forecasting Weather Radar Echo Pattern(Special Issue on Machine Vision Applications)
- The Subjective Evaluation Experiments on an Automatic Video Editing System Using Vision-based Head Tracking for Multiparty Conversations (特集:日常活動を変革する情報システム技術)
- Enhancing Memory-Based Particle Filter with Detection-Based Memory Acquisition for Robustness under Severe Occlusion
- Enhancing Memory-Based Particle Filter with Detection-Based Memory Acquisition for Robustness under Severe Occlusion