S
Svetha Venkatesh
Researcher at Deakin University
Publications - 864
Citations - 20118
Svetha Venkatesh is an academic researcher from Deakin University. The author has contributed to research in topics: Bayesian optimization & Computer science. The author has an hindex of 60, co-authored 828 publications receiving 16441 citations. Previous affiliations of Svetha Venkatesh include Australian National University & National University of Singapore.
Papers
More filters
Proceedings ArticleDOI
Affect computing in film through sound energy dynamics
TL;DR: An algorithm for the detection and classification of affective sound events underscored by specific patterns of sound energy dynamics is developed with the ultimate aim of automatically structuring sections of films that contain distinct shades of emotion related to horror themes for nonlinear media access and navigation.
Proceedings ArticleDOI
Extraction of social context and application to personal multimedia exploration
TL;DR: Novel algorithms for identifying socially significant places termed social spheres unobtrusively from GPS traces of daily life are presented and a novel measure of social tie strength based on frequency of interaction, and the nature of spheres it occurs within is formulated.
Proceedings ArticleDOI
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
TL;DR: A body-tracking model that is explicitly designed to handle real-world conditions such as occlusions by scene objects, failure recovery, long-term tracking, auto-initialisation, generalisation to different people and integration with action recognition is proposed.
Proceedings ArticleDOI
Early jump-out corner detectors
TL;DR: Two corner detectors are presented, one of which works by testing similarity of image patches along the contour direction to detect curves in the image contour, and the other of which uses direct estimation image curvature along the Contour direction.
Journal ArticleDOI
Sensing and using social context
TL;DR: Online algorithms to extract social context are presented and applications are presented with assessment of perceived utility: Socio-Graph, a video and photo browser with filters for social metadata, and Jive, a blog browser that uses rhythms to discover similarity between entries automatically.