WE1.PA1.3
MoReSo: A DNN Framework Expediting Content-based Video Image Retrieval (CBVIR)
Sinian Li, Doruk Barokas Profeta, Justin Dauwels, Delft University of Technology, Netherlands
Session:
WE1.PA1: Feature extraction in Visual Information Processing Poster
Track:
VIP - Visual Information Processing
Location:
Poster Area 1
Presentation Time:
Wed, 28 Aug, 10:30 - 12:30 France Time (UTC +1)
Session Chair:
Aladine Chetouani, Université d'Orléans
Presentation
Discussion
Resources
No resources available.
Session WE1.PA1
WE1.PA1.1: Iranian wheat varieties classification by using a fusion of texture features
André Backes, Federal University of São Carlos, Brazil; Mostafa Khojastehnazhand, University of Bonab, Iran
WE1.PA1.2: 2D Teager-Kaiser Analysis on Gaussian Noise
El Hadji Diop, University Iba Der Thiam, Senegal; Abdel Boudraa, French Naval Academy IRENav, France; Ndeye Gueye, University Iba Der Thiam, Senegal
WE1.PA1.3: MoReSo: A DNN Framework Expediting Content-based Video Image Retrieval (CBVIR)
Sinian Li, Doruk Barokas Profeta, Justin Dauwels, Delft University of Technology, Netherlands
WE1.PA1.4: Two-dimensional Color Distribution Entropy: Validation and Application on Non-contact Fault Diagnosis for Induction Motor
Shun Wang, Yolanda Vidal, Francesc Pozo, Universitat Politècnica de Catalunya, Spain
WE1.PA1.5: Object-Aware Anchor-Free Video Object Tracking using Attention Mechanism and Target Dynamics
Rahil Mahdian Toroghi, Ali Abbasi Boroujeni, Hassan Zareian, Iran Broadcasting University (IRIBU), Iran
WE1.PA1.6: EFFICIENT BINARY SEGMENTATION THROUGH DENSE NEURAL NETWORKS IN A TRUNCATED FREQUENCY DOMAIN
Nils DEFAUW, Marielle MALFANTE, Olivier ANTONI, Tiana RAKOTOVAO, Univ. Grenoble Alpes, CEA, List, France; Suzanne LESECQ, Univ. Grenoble Alpes, CEA, Leti, France
WE1.PA1.7: Comparative study of transformer robustness for multiple particle tracking without clutter
Piyush Mishra, Philippe Roudot, Aix Marseille Univ, CNRS, Centrale Med, I2M, Institut Fresnel, Turing Centre for Living systems, France
WE1.PA1.8: FORGETTING ANALYSIS BY MODULE PROBING FOR ONLINE OBJECT DETECTION WITH FASTER R-CNN
Baptiste Wagner, Denis Pellerin, Sylvain Huet, Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, France
WE1.PA1.9: ON THE USABILITY OF STRUCTURAL SIMILARITY FOR ACTION UNIT INTENSITY DETECTION
Gökhan Güney, Maurice Rohr, Sebastian Dill, Christoph Hoog Antink, Technical University of Darmstadt, Germany
WE1.PA1.10: An Image Segmentation Model with Transformed Total Variation
Elisha Dayag, Kevin Bui, University of California, Irvine, United States; Fredrick Park, Whittier College, United States; Jack Xin, University of California, Irvine, United States
WE1.PA1.11: INCREMENTAL IMAGE DECOLORIZATION WITH RANDOMIZING FACTORS
Andrzej SLUZEK, Warsaw University of Life Sciences-SGGW, Poland