A TV Content Augmentation System Exploiting Rule Based Named Entity Recognition Method

Date

2015-09-24

Author

Isiklar, Yunus Emre
Cicekli, Nihan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

201
views

0
downloads

This paper presents a TV content augmentation system that enhances the contents of TVprograms by retrieving context related data and presenting them to the viewers without the necessity of another device. The paper presents both the conceptual description of the system and a prototype implementation. The implementation utilizes program descriptions crawled from web resources in order to extract named entities such as person names, locations, organizations, etc. For this purpose, a rule based Named Entity Recognition (NER) algorithm is developed for Turkish texts. Information about the extracted entities is retrieved from Wikipedia with the help of semantic disambiguation and its summarized form is presented to the users. A set of experiments have been conducted on two different data sets in order to evaluate the performance of the rule based NER algorithm and the behavior of the TV content augmentation system.

Subject Keywords

Semantic disambiguation, Named Entity Recognition (NER), EPG (Electronic Program Guide), Content augmentation, Connected TV

URI

https://hdl.handle.net/11511/65649

DOI

https://doi.org/10.1007/978-3-319-22635-4_32

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A TV content augmentation system exploiting rule based named entity recognition method Işıklar, Yunus Emre; Çiçekli, Fehime Nihan; Department of Computer Engineering (2014) In this thesis, a TV content augmentation system taking the advantage of named entity recognition methods is proposed. The system aims to automatically enhance TV program contents by retrieving context related data and presenting them to the viewers without any necessity of another device. In addition to conceptual description of the system, a prototype implementation is developed and demonstrated with predefined TV programs. The implementation utilizes Electronic Program Guide (EPG) data of programs crawle...
An ontology-based multimedia information management system Tarakçı, Hilal; Çiçekli, Fehime Nihan; Department of Computer Engineering (2008) In order to manage the content of multimedia data, the content must be annotated. Although any user-defined annotation is acceptable, it is preferable if systems agree on the same annotation format. MPEG-7 is a widely accepted standard for multimedia content annotation. However, in MPEG-7, semantically identical metadata can be represented in multiple ways due to lack of precise semantics in its XML-based syntax. Unfortunately this prevents metadata interoperability. To overcome this problem, MPEG-7 standar...
A novel optical flow-based representation for temporal video segmentation Akpınar, Samet; Alpaslan, Ferda Nur (2017-01-01) Temporal video segmentation is a field of multimedia research enabling us to temporally split video data into semantically coherent scenes. In order to develop methods challenging temporal video segmentation, detecting scene boundaries is one of the more widely used approaches. As a result, representation of temporal information becomes important. We propose a new temporal video segment representation to formalize video scenes as a sequence of temporal motion change information. The idea here is that some s...
An image encryption algorithm robust to post-encryption bitrate conversion Akdağ, Sadık Bahaettin; Candan, Çağatay; Department of Electrical and Electronics Engineering (2006) In this study, a new method is proposed to protect JPEG still images through encryption by employing integer-to-integer transforms and frequency domain scrambling in DCT channels. Different from existing methods in the literature, the encrypted image can be further compressed, i.e. transcoded, after the encryption. The method provides selective encryption/security level with the adjustment of its parameters. The encryption method is tested with various images and compared with the methods in the literature ...
A MEMS BASED GRAVIMETRIC RESONATOR FOR MASS SENSING APPLICATIONS Bayraktar, Ekrem; Eroglu, Deniz; Ciftlik, Ata Tuna; Külah, Haluk (2011-01-27) This paper presents the design and implementation of a resonator-type high-resolution gravimetric sensor, which allows detection in liquid media without severe degradation of the quality factor and the resolution. The proposed system eliminates the drawbacks of traditional cantilever-based detectors by lateral motion of the mechanical structure, which significantly decreases squeeze-film damping. It has been experimentally verified that the system is capable of achieving 5.91 fg/Hz mass sensitivity by measu...

Citation Formats

Y. E. Isiklar and N. Cicekli, “A TV Content Augmentation System Exploiting Rule Based Named Entity Recognition Method,” 2015, vol. 363, p. 349, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65649.