TV Stream Structuring

Author:

Ibrahim Zein Al Abidin1,Gros Patrick2

Affiliation:

1. LERIA Laboratory, Angers University, 49045 Angers, France

2. INRIA, Centre Rennes-Bretagne Atlantique, 35042 Rennes, France

Abstract

TV stream structuring consists in detecting precisely the first and the last frames of all the programs and the breaks (commercials, trailers, station identification, bumpers) of a given stream and then in annotating all these segments with metadata. Usually, breaks are broadcasted several times during a stream. Thus, the detection of these repetitions can be considered as a key tool for stream structuring. After the detection stage, a classification method is applied to separate the repetitions in programs and breaks. In their turn, breaks repetitions are then used to classify the segments which appear only once in the stream. Finally, the stream is aligned with an electronic program guide (EPG), in order to annotate the programs. Our experiments have been applied on a 22-day long TV stream, and results show the efficiency of the proposed method in TV stream structuring.

Publisher

Hindawi Limited

Subject

Signal Processing

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Television Programs Classification via Deep Learning Approach Using SSMI-CNN;Applied Intelligence and Informatics;2022

2. Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing;Computer Vision – ECCV 2012. Workshops and Demonstrations;2012

3. Labeling TV Stream Segments with Conditional Random Fields;Lecture Notes in Computer Science;2012

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