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20172022
most citedA Unified Multi-Faceted Video Summarization System

6 citations · 30 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2021

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection

Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan +2

With ever-increasing dataset sizes, subset selection techniques are becoming increasingly important for a plethora of tasks. It is often necessary to guide the subset selection to…

cs.CV2021★ 5 cited

How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization

Vishal Kaushal, Suraj Kothawade, Anshul Tomar +2

Automatic video summarization is still an unsolved problem due to several challenges. The currently available datasets either have very short videos or have few long videos of only…

cs.CV2020

Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework

Vishal Kaushal, Suraj Kothawade, Rishabh Iyer +1

Automatic video summarization is still an unsolved problem due to several challenges. We take steps towards making automatic video summarization more realistic by addressing them.…

cs.CV2019

Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance

Vishal Kaushal, Rishabh Iyer, Khoshrav Doctor +6

This paper addresses automatic summarization of videos in a unified manner. In particular, we propose a framework for multi-faceted summarization for extractive, query base and ent…

cs.CV2019

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

Vishal Kaushal, Rishabh Iyer, Suraj Kothawade +3

Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry. Their data curation poses the challenges of expensive human labeling, inad…

cs.CV2018★ 2 cited

Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization

Rishabh Iyer, Pratik Dubal, Kunal Dargan +3

With increasing amounts of visual data being created in the form of videos and images, visual data selection and summarization are becoming ever increasing problems. We present Vis…

cs.CV2018

A Framework towards Domain Specific Video Summarization

Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade +2

In the light of exponentially increasing video content, video summarization has attracted a lot of attention recently due to its ability to optimize time and storage. Characteristi…

cs.CV2018★ 6 cited

Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks

Vishal Kaushal, Anurag Sahoo, Khoshrav Doctor +5

Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry and pose the challenges of not having adequate computing resources and of h…

cs.CV2017★ 6 cited

A Unified Multi-Faceted Video Summarization System

Anurag Sahoo, Vishal Kaushal, Khoshrav Doctor +3

This paper addresses automatic summarization and search in visual data comprising of videos, live streams and image collections in a unified manner. In particular, we propose a fra…