Segmentation Free Object Discovery in Video

09/01/2016
by   Giovanni Cuffaro, et al.
0

In this paper we present a simple yet effective approach to extend without supervision any object proposal from static images to videos. Unlike previous methods, these spatio-temporal proposals, to which we refer as tracks, are generated relying on little or no visual content by only exploiting bounding boxes spatial correlations through time. The tracks that we obtain are likely to represent objects and are a general-purpose tool to represent meaningful video content for a wide variety of tasks. For unannotated videos, tracks can be used to discover content without any supervision. As further contribution we also propose a novel and dataset-independent method to evaluate a generic object proposal based on the entropy of a classifier output response. We experiment on two competitive datasets, namely YouTube Objects and ILSVRC-2015 VID.

READ FULL TEXT

page 2

page 4

research
03/18/2020

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos

Existing methods for instance segmentation in videos typically involve m...
research
09/19/2018

Towards Large-Scale Video Video Object Mining

We propose to leverage a generic object tracker in order to perform obje...
research
04/18/2020

A Deep Learning Approach to Object Affordance Segmentation

Learning to understand and infer object functionalities is an important ...
research
01/15/2020

UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking

We address Unsupervised Video Object Segmentation (UVOS), the task of au...
research
06/20/2022

5th Place Solution for YouTube-VOS Challenge 2022: Video Object Segmentation

Video object segmentation (VOS) has made significant progress with the r...
research
02/28/2019

Large-Scale Object Mining for Object Discovery from Unlabeled Video

This paper addresses the problem of object discovery from unlabeled driv...
research
07/29/2020

Spatio-temporal Consistency to Detect Potential Aedes aegypti Breeding Grounds in Aerial Video Sequences

Every year, the Aedes aegypti mosquito infects thousands of people with ...

Please sign up or login with your details

Forgot password? Click here to reset