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81. Audio processing for automatic TV sports program highlights detection

Marlow, Seán, Sadlier, David A., O'Connor, Noel E., Murphy, Noel,

In today’s fast paced world, the time available to watch long sports programmes is decreasing, while the number of sports channels is rapidly increasing. Many viewers desire the facility to watch jus...

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82. Augmenting human memory using personal lifelogs

Chen, Yi, Jones, Gareth J.F.,

Memory is a key human facility to support life activities, including social interactions, life management and problem solving. Unfortunately, our memory is not perfect. Normal individuals will have ...

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83. Automated annotation of landmark images using community contributed datasets and web resources

Jones, Gareth J.F., Byrne, Daragh, Hughes, Mark, O'Connor, Noel E., Salway, Andrew,

A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags...

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84. Automated annotation of multimedia audio data with affective labels for information management

Hau Chan, Ching, Jones, Gareth J.F.,

The emergence of digital multimedia systems is creating many new opportunities for rapid access to huge content archives. In order to fully exploit these information sources, the content must be annot...

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85. Automated management of more than one million lifelog images

Doherty, Aiden R., Smeaton, Alan F.,

The SenseCam is a passively capturing wearable camera that captures approximately 2,500 images on average per day. This provides a user with an extensive visual diary. Possible applications making use...

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86. Automatic TV advertisement detection from MPEG bitstream

Sadlier, David A., Marlow, Seán, O'Connor, Noel E., Murphy, Noel,

The Centre for Digital Video Processing at Dublin City University conducts concentrated research and development in the area of digital video management. The current stage of development is demonstrat...

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87. Automatic detection and extraction of artificial text in video

Malobabić, Jovanka, O'Connor, Noel E., Murphy, Noel, Marlow, Seán,

A significant challenge in large multimedia databases is the provision of efficient means for semantic indexing and retrieval of visual information. Artificial text in video is normally generated in ...

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88. Automatic extraction of Arabic multiword expressions

Attia, Mohammed, Tounsi, Lamia, Pecina, Pavel, van Genabith, Josef, Toral , Antonio,

In this paper we investigate the automatic acquisition of Arabic Multiword Expressions (MWE). We propose three complementary approaches to extract MWEs from available data resources. The first approac...

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89. Automatic generation of query sessions using text segmentation

Ganguly, Debasis, Leveling, Johannes, Jones, Gareth J.F.,

We propose a generative model for automatic query refor- mulations from an initial query using the underlying subtopic structure of top ranked retrieved documents. We address two types of query re-fo...

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90. Automatic indexing of video content via the detection of semantic events

Lehane, Bart,

The number, and size, of digital video databases is continuously growing. Unfortunately, most, if not all, of the video content in these databases is stored without any sort of indexing or analysis an...

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