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Video shot-boundary detection: issues, challenges and solutions
The integration of high data transmission rates and the recent digital multimedia technology,
paves the way to access a huge amount of video over the internet, in seconds. Additionally …
paves the way to access a huge amount of video over the internet, in seconds. Additionally …
LVTIA: A new method for keyphrase extraction from scientific video lectures
Due to the growth of technology, the expansion of communication infrastructure and crises of
COVID-19 pandemic, e-learning and virtual education is expanding. One of the best ways to …
COVID-19 pandemic, e-learning and virtual education is expanding. One of the best ways to …
Topic-based video analysis: A survey
Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …
is challenging due to various reasons. First, manual analysis is highly time-consuming …
Ontology-based human behavior indexing with multimodal video data
J Vizcarra, S Nishimura… - 2021 IEEE 15th …, 2021 - ieeexplore.ieee.org
Observing and analyzing human behavior is a labor-intensive task. Video data is a crucially
important resource for ethnographical study, but the accessibility is limited because …
important resource for ethnographical study, but the accessibility is limited because …
A machine learning framework for authorship identification from texts
RR Iyer, CP Rose - arxiv preprint arxiv:1912.10204, 2019 - arxiv.org
Authorship identification is a process in which the author of a text is identified. Most known
literary texts can easily be attributed to a certain author because they are, for example …
literary texts can easily be attributed to a certain author because they are, for example …
An unsupervised domain-independent framework for automated detection of persuasion tactics in text
RR Iyer, K Sycara - arxiv preprint arxiv:1912.06745, 2019 - arxiv.org
With the increasing growth of social media, people have started relying heavily on the
information shared therein to form opinions and make decisions. While such a reliance is …
information shared therein to form opinions and make decisions. While such a reliance is …
Videography-based unconstrained video analysis
Video analysis and understanding play a central role in visual intelligence. In this paper, we
aim to analyze unconstrained videos, by designing features and approaches to represent …
aim to analyze unconstrained videos, by designing features and approaches to represent …
Event outcome prediction using sentiment analysis and crowd wisdom in microblog feeds
Sentiment Analysis of microblog feeds has attracted considerable interest in recent times.
Most of the current work focuses on tweet sentiment classification. But not much work has …
Most of the current work focuses on tweet sentiment classification. But not much work has …
Building a Multimodal Dataset of Academic Paper for Keyword Extraction
J Zhang, X Yan, Y **ang, Y Zhang… - Proceedings of the …, 2024 - Wiley Online Library
Up to this point, keyword extraction task typically relies solely on textual data. Neglecting
visual details and audio features from image and audio modalities leads to deficiencies in …
visual details and audio features from image and audio modalities leads to deficiencies in …
A robust video identification framework using perceptual image hashing
This paper proposes a general framework that allows to identify a video in real time using
perceptual image hashing algorithms. In order to evaluate the versatility and performance of …
perceptual image hashing algorithms. In order to evaluate the versatility and performance of …