Coding Visual Features Extracted From Video Sequences

Συγγραφείς: BAROFFIO, LUCA, CESANA, MATTEO, REDONDI, ALESSANDRO ENRICO CESARE, TAGLIASACCHI, MARCO, TUBARO, STEFANO

Πηγή: IEEE Transactions on Image Processing

Θεματικοί όροι: FP7, EC, SP1-Cooperation, FET Young Explorers, 02 engineering and technology, feature extraction, image representation, image retrieval, image sequences, object tracking, video coding, ATC, CTA paradigm, analyze then compress, bandwidth limited network, coding architecture, coding techniques, coding visual feature extraction, compress-then-analyze, content based retrieval, evaluation metrics, image content representation, interframe coding modes, object recognition, rate distortion optimization, remote nodes, video frame extraction, video sequences, visual analysis, visual features, visual search, visual sensor networks, Encoding, Image coding, Vectors, Visualization, SIFT, SURF, local descriptors, Information and Communication Technologies, FET FP7, 3. Good health, fet-fp7, open, 0202 electrical engineering, electronic engineering, information engineering, Networked energy-aware visual analysis, European Commission

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://www.openaccessrepository.it/record/22462/files/fulltext.pdf
https://pubmed.ncbi.nlm.nih.gov/24818244
https://www.ncbi.nlm.nih.gov/pubmed/24818244
http://dblp.uni-trier.de/db/journals/tip/tip23.html#BaroffioCRTT14
https://dblp.uni-trier.de/db/journals/tip/tip23.html#BaroffioCRTT14
https://ui.adsabs.harvard.edu/abs/2014ITIP...23.2262B/abstract
http://ieeexplore.ieee.org/iel7/83/6779706/06775275.pdf?arnumber=6775275
https://www.openaccessrepository.it/record/22462
https://hdl.handle.net/11311/845810
https://doi.org/10.1109/TIP.2014.2312617