Search Results for author:
Found 9 papers, 6 papers with code
Introducing the structural bases of typicality effects in deep learning
In this paper, we hypothesize that the effects of the degree of typicality in natural semantic categories can be generated based on the structure of artificial categories learned with deep learning models.
A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos
Technological advances in sensors have paved the way for digital cameras to become increasingly ubiquitous, which, in turn, led to the popularity of the self-recording culture.
A gaze driven fast-forward method for first-person videos
The growing data sharing and life-logging cultures are driving an unprecedented increase in the amount of unedited First-Person Videos.
Global Semantic Description of Objects based on Prototype Theory
Also, we introduce a Prototype-based Description Model that encodes the semantic meaning of an object while describing its features using our CPM model.
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opposite side of the available time and patience of the users.
Prototypicality effects in global semantic description of objects
In this paper, we introduce a novel approach for semantic description of object features based on the prototypicality effects of the Prototype Theory.
Making a long story short: A Multi-Importance fast-forwarding egocentric videos with the emphasis on relevant objects
The emergence of low-cost high-quality personal wearable cameras combined with the increasing storage capacity of video-sharing websites have evoked a growing interest in first-person videos, since most videos are composed of long-running unedited streams which are usually tedious and unpleasant to watch.
Towards Semantic Fast-Forward and Stabilized Egocentric Videos
The emergence of low-cost personal mobiles devices and wearable cameras and the increasing storage capacity of video-sharing websites have pushed forward a growing interest towards first-person videos.
Fast-Forward Video Based on Semantic Extraction
Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos.
