Joint summarization of large-scale collections of web images and videos for storyline reconstruction
In this paper, we address the problem of jointly summarizing large sets of Flickr images and
YouTube videos. Starting from the intuition that the characteristics of the two media types are …
YouTube videos. Starting from the intuition that the characteristics of the two media types are …
Reconstructing storyline graphs for image recommendation from web community photos
In this paper, we investigate an approach for reconstructing storyline graphs from large-
scale collections of Internet images, and optionally other side information such as friendship …
scale collections of Internet images, and optionally other side information such as friendship …
Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task
Neural sentence encoders (NSE) are effective in many NLP tasks, including topic
segmentation. However, no systematic comparison of their performance in topic …
segmentation. However, no systematic comparison of their performance in topic …
Lessons learnt from linear text segmentation: a fair comparison of architectural and sentence encoding strategies for successful segmentation
I Ghinassi, L Wang, C Newell… - Proceedings of the 14th …, 2023 - aclanthology.org
Recent works on linear text segmentation have shown new state-of-the-art results nearly
every year. Most times, however, these recent advances include a variety of different …
every year. Most times, however, these recent advances include a variety of different …
LSTM-based Siamese neural network for Urdu news story segmentation
News story segmentation is a challenging task mainly due to the dynamic range of topics,
smooth story transitions, and varied duration of each story. This paper presents a technique …
smooth story transitions, and varied duration of each story. This paper presents a technique …
[PDF][PDF] Hierarchical Recurrent Neural Network for Story Segmentation.
A broadcast news stream consists of a number of stories and each story consists of several
sentences. We capture this structure using a hierarchical model based on a word-level …
sentences. We capture this structure using a hierarchical model based on a word-level …
Semantic user profiling techniques for personalised multimedia recommendation
F Hopfgartner, JM Jose - Multimedia systems, 2010 - Springer
Due to the explosion of news materials available through broadcast and other channels,
there is an increasing need for personalised news video retrieval. In this work, we introduce …
there is an increasing need for personalised news video retrieval. In this work, we introduce …
Automatic story segmentation for tv news video using multiple modalities
E Dumont, G Quénot - International journal of digital …, 2012 - Wiley Online Library
While video content is often stored in rather large files or broadcasted in continuous streams,
users are often interested in retrieving only a particular passage on a topic of interest to …
users are often interested in retrieving only a particular passage on a topic of interest to …
[图书][B] TV content analysis: Techniques and applications
The rapid advancement of digital multimedia technologies has not only revolutionized the
production and distribution of audiovisual content, but also created the need to efficiently …
production and distribution of audiovisual content, but also created the need to efficiently …
Unsupervised Text Segmentation via Deep Sentence Encoders: a first step towards a common framework for text-based segmentation, summarization and indexing of …
I Ghinassi - 2021 - qmro.qmul.ac.uk
In this paper we present a new algorithm for text segmentation based on deep sentence
encoders and the TextTiling algorithm. We will describe how text segmentation is an …
encoders and the TextTiling algorithm. We will describe how text segmentation is an …