Topic Detection and Tracking in News Articles

Patel, Sachin; Suthar, Sanket B.; Patel, Sandip; Patel, Nehal; Patel, Arpita

doi:10.1007/978-3-319-63645-0_48

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…In general, the automatic facial recognition system consists of a face detection subsystem, which serves to determine the position and size of the face in an image; a feature extraction subsystem, which functions to extract the characteristics contained in the facial area; and a facial recognition subsystem, which is in charge of comparing images of input faces with a set of faces in a database so that in the end the level of recognition of the facial image can be determined [1]. In the modern era like today, development is very fast, especially in the technology used to analyze human physique and behavior (biometric).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Face Tracking Using Local Binary Patterns Histograms Algorithm

Hutahaean¹,

Lubis²,

Isnaini³

et al. 2023

Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 202

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Human face detection is an important early stage in automated facial recognition systems. In a single image, the purpose of face detection is to identify all the areas present in the image to find the face area and the non-face area. In image detection, colors have a high sensitivity to changes in light, so to overcome this, RGB image transformation is carried out into a color space whose luminance and chromatic components are separated so that it is enough to use chromatic only for the skin color detection process. Face tracking is carried out with image processing techniques and a complex set of algorithms. The face-tracking process gives the computer the ability to detect the face. The tracking process is carried out using the Local Binary Patterns Histograms algorithm. The Local Binary Patterns Histograms algorithm is one of the object recognition algorithms that divides an image into several parts and then translates them into their representative binary numbers in the form of a histogram. For good tracking results, you must use adequate lighting or bright lighting to get maximum results. Face tracking can be detected correctly with three users at a distance of three meters..

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Section: Introductionmentioning

confidence: 99%

Real-Time Face Tracking Using Local Binary Patterns Histograms Algorithm

Hutahaean¹,

Lubis²,

Isnaini³

et al. 2023

Proceedings of the 4th Annual Conference of Engineering and Implementation on Vocational Education, ACEIVE 2022, 20 October 202

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Efficient Topic Detection Using an Adaptive Neural Network Architecture

Manai,

Ben Yahia

2024

Lecture Notes in Business Information Processing

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A Semantic Preprocessing Framework for Breaking News Detection to Support Future Drone Journalism Services

et al. 2022

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Nowadays, news coverage implies the existence of video footage and sound, from which arises the need for fast reflexes by media organizations. Social media and mobile journalists assist in fulfilling this requirement, but quick on-site presence is not always feasible. In the past few years, Unmanned Aerial Vehicles (UAVs), and specifically drones, have evolved to accessible recreational and business tools. Drones could help journalists and news organizations capture and share breaking news stories. Media corporations and individual professionals are waiting for the appropriate flight regulation and data handling framework to enable their usage to become widespread. Drone journalism services upgrade the usage of drones in day-to-day news reporting operations, offering multiple benefits. This paper proposes a system for operating an individual drone or a set of drones, aiming to mediate real-time breaking news coverage. Apart from the definition of the system requirements and the architecture design of the whole system, the current work focuses on data retrieval and the semantics preprocessing framework that will be the basis of the final implementation. The ultimate goal of this project is to implement a whole system that will utilize data retrieved from news media organizations, social media, and mobile journalists to provide alerts, geolocation inference, and flight planning.

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Topic Detection and Tracking in News Articles

Cited by 3 publications

References 7 publications

Real-Time Face Tracking Using Local Binary Patterns Histograms Algorithm

Real-Time Face Tracking Using Local Binary Patterns Histograms Algorithm

Efficient Topic Detection Using an Adaptive Neural Network Architecture

A Semantic Preprocessing Framework for Breaking News Detection to Support Future Drone Journalism Services

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