Movie shot selection preserving narrative properties

Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis; Ioannis Pitas

doi:10.1109/MMSP.2016.7813397

Movie shot selection preserving narrative properties

Ioannis Mademlis
, Anastasios Tefas
, Nikos Nikolaidis
, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

8 Citations (Scopus)

411 Downloads (Pure)

Abstract

Automatic shot selection is an important aspect of movie summarization that is helpful both to producers and to audiences, e.g., for market promotion or browsing purposes. However, most of the related research has focused on shot
selection based on low-level video content, which disregards semantic information, or on narrative properties extracted from text, which requires the movie script to be available. In this work, semantic shot selection based on the narrative prominence of movie characters in both the visual and the audio modalities is investigated, without the need for additional data such as a script.
The output is a movie summary that only contains video frames from selected movie shots. Selection is controlled by a userprovided shot retention parameter, that removes key-frames/keysegments from the skim based on actor face appearances and speech instances. This novel process (Multimodal Shot Pruning,
or MSP) is algebraically modelled as a multimodal matrix Column Subset Selection Problem, which is solved using an evolutionary computing approach.

Original language	English
Title of host publication	2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016)
Subtitle of host publication	Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	352-356
Number of pages	5
ISBN (Electronic)	9781509037247
ISBN (Print)	9781509037254
DOIs	https://doi.org/10.1109/MMSP.2016.7813397
Publication status	Published - Feb 2017
Event	18th International Workshop on Multimedia Signal Processing: MMSP2016 - Montreal, Canada Duration: 21 Sept 2016 → 23 Sept 2016

Publication series

Name	Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2163-3517
ISSN (Electronic)	2473-3628

Conference

Conference	18th International Workshop on Multimedia Signal Processing
Country/Territory	Canada
City	Montreal
Period	21/09/16 → 23/09/16

Keywords

Video Summarization
Shot Selection
Column Sub-set Selection Problem

Access to Document

10.1109/MMSP.2016.7813397

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Mademlis, I., Tefas, A., Nikolaidis, N., & Pitas, I. (2017). Movie shot selection preserving narrative properties. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016): Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada (pp. 352-356). (Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/MMSP.2016.7813397

Mademlis, Ioannis ; Tefas, Anastasios ; Nikolaidis, Nikos et al. / Movie shot selection preserving narrative properties. 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016): Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 352-356 (Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)).

@inproceedings{ecf62778937849a897a8132f33615e60,

title = "Movie shot selection preserving narrative properties",

abstract = "Automatic shot selection is an important aspect of movie summarization that is helpful both to producers and to audiences, e.g., for market promotion or browsing purposes. However, most of the related research has focused on shot selection based on low-level video content, which disregards semantic information, or on narrative properties extracted from text, which requires the movie script to be available. In this work, semantic shot selection based on the narrative prominence of movie characters in both the visual and the audio modalities is investigated, without the need for additional data such as a script. The output is a movie summary that only contains video frames from selected movie shots. Selection is controlled by a userprovided shot retention parameter, that removes key-frames/keysegments from the skim based on actor face appearances and speech instances. This novel process (Multimodal Shot Pruning, or MSP) is algebraically modelled as a multimodal matrix Column Subset Selection Problem, which is solved using an evolutionary computing approach.",

keywords = "Video Summarization, Shot Selection, Column Sub-set Selection Problem",

author = "Ioannis Mademlis and Anastasios Tefas and Nikos Nikolaidis and Ioannis Pitas",

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Mademlis, I, Tefas, A, Nikolaidis, N & Pitas, I 2017, Movie shot selection preserving narrative properties. in 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016): Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada. Proceedings of the International Workshop on Multimedia Signal Processing (MMSP), Institute of Electrical and Electronics Engineers (IEEE), pp. 352-356, 18th International Workshop on Multimedia Signal Processing, Montreal, Canada, 21/09/16. https://doi.org/10.1109/MMSP.2016.7813397

Movie shot selection preserving narrative properties. / Mademlis, Ioannis; Tefas, Anastasios; Nikolaidis, Nikos et al.
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016): Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 352-356 (Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Movie shot selection preserving narrative properties

AU - Mademlis, Ioannis

AU - Tefas, Anastasios

AU - Nikolaidis, Nikos

AU - Pitas, Ioannis

PY - 2017/2

Y1 - 2017/2

N2 - Automatic shot selection is an important aspect of movie summarization that is helpful both to producers and to audiences, e.g., for market promotion or browsing purposes. However, most of the related research has focused on shot selection based on low-level video content, which disregards semantic information, or on narrative properties extracted from text, which requires the movie script to be available. In this work, semantic shot selection based on the narrative prominence of movie characters in both the visual and the audio modalities is investigated, without the need for additional data such as a script. The output is a movie summary that only contains video frames from selected movie shots. Selection is controlled by a userprovided shot retention parameter, that removes key-frames/keysegments from the skim based on actor face appearances and speech instances. This novel process (Multimodal Shot Pruning, or MSP) is algebraically modelled as a multimodal matrix Column Subset Selection Problem, which is solved using an evolutionary computing approach.

AB - Automatic shot selection is an important aspect of movie summarization that is helpful both to producers and to audiences, e.g., for market promotion or browsing purposes. However, most of the related research has focused on shot selection based on low-level video content, which disregards semantic information, or on narrative properties extracted from text, which requires the movie script to be available. In this work, semantic shot selection based on the narrative prominence of movie characters in both the visual and the audio modalities is investigated, without the need for additional data such as a script. The output is a movie summary that only contains video frames from selected movie shots. Selection is controlled by a userprovided shot retention parameter, that removes key-frames/keysegments from the skim based on actor face appearances and speech instances. This novel process (Multimodal Shot Pruning, or MSP) is algebraically modelled as a multimodal matrix Column Subset Selection Problem, which is solved using an evolutionary computing approach.

KW - Video Summarization

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KW - Column Sub-set Selection Problem

U2 - 10.1109/MMSP.2016.7813397

DO - 10.1109/MMSP.2016.7813397

M3 - Conference Contribution (Conference Proceeding)

SN - 9781509037254

T3 - Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)

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EP - 356

BT - 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 18th International Workshop on Multimedia Signal Processing

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ER -

Mademlis I, Tefas A, Nikolaidis N, Pitas I. Movie shot selection preserving narrative properties. In 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP 2016): Proceedings of a meeting held 21-23 September 2016, Montreal, Quebec, Canada. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 352-356. (Proceedings of the International Workshop on Multimedia Signal Processing (MMSP)). Epub 2017 Jan 16. doi: 10.1109/MMSP.2016.7813397

Movie shot selection preserving narrative properties

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Keywords

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