Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
In this paper, dynamic rate shaping for H.264/AVC intracoded video streams is investigated. An analysis of the distortion distinguishes different error components that lead to the...
Stijn Notebaert, Jan De Cock, Kenneth Vermeirsch, ...
Abstract— We explore an algorithm and methodology for realtime video compression and communication over sensor network. Video is encoded using the address-event representation (A...
Eugenio Culurciello, Joon Hyuk Park, Andreas Savvi...
By reconstructing time-varying geometry one frame at a time, one ignores the continuity of natural motion, wasting useful information about the underlying video-image formation pr...
Temporal consistency is ubiquitous in video data, where temporally adjacent video shots usually share similar visual and semantic content. This paper presents a thorough study of ...