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Bogdan Ionescu

3 accepted papers

2017

Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos

CVPR 2017poster

We introduce Spatio-Temporal Vector of Locally Max Pooled Features (ST-VLMPF), a super vector-based encoding method specifically designed for local deep features encoding. The proposed method addresses an important problem of video understanding: how to build a video representation that incorporate…

Cited by 70PDFScholar
2016

View synthesis based on temporal prediction via warped motion vector fields

ICASSP 2016accepted

The demand for 3D content has increased over the last years as 3D displays are now widespread. View synthesis methods, such as depth-image-based-rendering, provide an efficient tool in 3D content creation or transmission, and are integrated in coding solutions for multiview video content such as 3D-…

Cited by 0SourceScholar
2015

Improved view synthesis by motion warping and temporal hole filling

ICASSP 2015accepted

View synthesis received increasing attention over the last years, as it offers a wide range of practical applications like Free Viewpoint Television, 3D video, video gaming, etc. The main issues in view synthesis are the filling of disoccluded areas and the warping of real views. In this paper we pr…

Cited by 0SourceScholar