Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Aniqa Dilawari"'
Publikováno v:
IEEE Access, Vol 12, Pp 88897-88903 (2024)
Video sharing platforms like YouTube, TikTok and Instagram have gained popularity in the online space. Daily several videos are uploaded, which calls for an efficient video retrieval system that could identify near-duplicate videos that offers severa
Externí odkaz:
https://doaj.org/article/e650389b042245029db0e556919beacc
Autor:
Aniqa Dilawari, Muhammad Usman Ghani Khan, Summra Saleem, Zahoor-Ur-Rehman, Fatema Sabeen Shaikh
Publikováno v:
IEEE Access, Vol 11, Pp 23557-23564 (2023)
Summarization generates a brief and concise summary which portrays the main idea of the source text. There are two forms of summarization: abstractive and extractive. Extractive summarization chooses important sentences from the text to form a summar
Externí odkaz:
https://doaj.org/article/c8076fbd891b4cff9b28b1999ed6e997
Publikováno v:
IEEE Access, Vol 7, Pp 29253-29263 (2019)
In today's age, a massive amount of videos are produced every day, which contains audio, visual, and textual data. This constant increase is due to the ease of recording service in portable devices, such as mobile phones, tablets, or cameras. The maj
Externí odkaz:
https://doaj.org/article/cf85f45b6df34426aa3efad1c77806a6
Autor:
Aniqa Dilawari, Muhammad Usman Ghani Khan, Ammarah Farooq, Zahoor-Ur Rehman, Seungmin Rho, Irfan Mehmood
Publikováno v:
IEEE Access, Vol 6, Pp 16639-16645 (2018)
In recent years, deep learning approaches have gained great attention due to their superior performance and the availability of high speed computing resources. These approaches are also extended towards the real time processing of multimedia content
Externí odkaz:
https://doaj.org/article/197effdfaa634d239f37a26b73767512
Autor:
Aniqa Dilawari, Muhammad Usman Ghani Khan, Yasser D. Al-Otaibi, Zahoor-ur Rehman, Atta-ur Rahman, Yunyoung Nam
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3730 (2021)
After the September 11 attacks, security and surveillance measures have changed across the globe. Now, surveillance cameras are installed almost everywhere to monitor video footage. Though quite handy, these cameras produce videos in a massive size a
Externí odkaz:
https://doaj.org/article/7e935fa8c88042af8a03bab54bf78767
Publikováno v:
2022 2nd International Conference on Artificial Intelligence (ICAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8081799aef0d983e4e4438f55182d36
https://doi.org/10.1109/icai55435.2022.9773469
https://doi.org/10.1109/icai55435.2022.9773469
Publikováno v:
Computers & Electrical Engineering. 78:108-119
The study of Natural Language Generation (NLG), especially how human beings narrate the world, assists in understanding of the visual world for surveillance. Our research proposes an effective technique to axiomatically develop multi-line textual des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a100aac68db9e945fada28bc78fb7ba
https://doi.org/10.1016/j.compeleceng.2019.07.009
https://doi.org/10.1016/j.compeleceng.2019.07.009
Autor:
Khalid Mahmood Awan, Aniqa Dilawari, Zahoor ur Rehman, M. Usman Ghani Khan, Seungmin Rho, Irfan Mehmood
Publikováno v:
Circuits, Systems, and Signal Processing. 39:857-883
In the past few decades, research has been carried out to automatically find humans in a video sequence. Automatically detecting humans in videos is gaining interest for numerous applications such as driver assistance system, security, people countin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2848ad717ecb0b53b0e198409635257
https://doi.org/10.1007/s00034-019-01143-9
https://doi.org/10.1007/s00034-019-01143-9
Publikováno v:
IEEE Access, Vol 7, Pp 29253-29263 (2019)
In today’s age, a massive amount of videos are produced every day, which contains audio, visual, and textual data. This constant increase is due to the ease of recording service in portable devices, such as mobile phones, tablets, or cameras. The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::849923e8e3363d6802ab96553cf6bd92
https://ieeexplore.ieee.org/document/8664480/
https://ieeexplore.ieee.org/document/8664480/
Publikováno v:
2021 International Conference on Artificial Intelligence (ICAI).
Attestation of audio signals for recognition of forgery in voice is challenging task. In this research work, a deep convolutional neural network (CNN) is utilized to detect audio operations i.e. pitch shifted and amplitude varied signals. Short-time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40139259afa52fff5272c0f7e7cabc9
https://doi.org/10.1109/icai52203.2021.9445259
https://doi.org/10.1109/icai52203.2021.9445259