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Verifying genre-based clustering approach to content extraction

Suhit Gupta, Hila Becker, Gail Kaiser, Salvatore Stolfo
2006 Proceedings of the 15th international conference on World Wide Web - WWW '06  
Using the genre of a web page, we have created a solution, Crunch that automatically identifies clutter and removes it, thus leaving a clean content-full page.  ...  In order to evaluate the improvement in the applications for this technology, we identified a number of experiments.  ...  The clustering algorithm and genre-based adaptive application of filters have been described in our prior publication.  ... 
doi:10.1145/1135777.1135922 dblp:conf/www/GuptaBKS06 fatcat:6mxdalbq7nannojhjd7pddmysm

Audio genre classification using percussive pattern clustering combined with timbral features

Emiru Tsunoo, George Tzanetakis, Nobutaka Ono, Shigeki Sagayama
2009 2009 IEEE International Conference on Multimedia and Expo  
In order to extract bar-long unit rhythmic patterns for a music collection we propose a clustering method based on one-pass dynamic programming and k-means clustering.  ...  Experimental results show that the automatically calculated rhythmic pattern information can be used to effectively classify musical genre/style and improve upon current approaches based on timbral features  ...  Based on the calculated alignment and an approach similar to k-means clustering the input templates are adapted by averaging segments that belong to the same cluster.  ... 
doi:10.1109/icme.2009.5202514 dblp:conf/icmcs/TsunooTOS09 fatcat:ki4jibflg5b73a5ehhcn7oi3d4

Automatic Discovery of Political Meme Genres with Diverse Appearances [article]

William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter Scheirer
2020 arXiv   pre-print
Results show that this approach can discover new meme genres with visually diverse images that share common stylistic elements, paving the way forward for further work in semantic analysis and content  ...  This pipeline can ingest meme images from a social network, apply computer vision-based techniques to extract local features and index new images into a database, and then organize the memes into related  ...  Special thanks is also in order to the undergraduate data annotators: Noah Yoshida, Michael Eisemann, and Sam Battalio.  ... 
arXiv:2001.06122v2 fatcat:sb3w55ovn5dvjaerhqbh3svxcu

Improving automatic music genre classification with hybrid content-based feature vectors

Carlos N. Silla, Alessandro L. Koerich, Celso A. A. Kaestner
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
In order to identify which types of content-based features are responsible for the predictive accuracy gain, we also used a feature selection (FS) approach based on a genetic algorithm (GA).  ...  The reason for this is that the use of contentbased approaches, i.e. using features extracted directly from the audio signal, seems to have reached a glass ceiling.  ...  Thomas Lidy for providing the other feature extraction algorithms used in this work.  ... 
doi:10.1145/1774088.1774453 dblp:conf/sac/SillaKK10 fatcat:e522u7swvbezndo2pdivkq5e6i

Musical Bass-Line Pattern Clustering And Its Application To Audio Genre Classification

Emiru Tsunoo, Nobutaka Ono, Shigeki Sagayama
2009 Zenodo  
Then we propose a clustering method specialized to bassline patterns based on the k-means clustering algorithm.  ...  In this paper, we discuss an approach for clustering unit bass-line patterns from a number of audio tracks and propose a feature vector based on the distances from templates for the applicationto genre  ... 
doi:10.5281/zenodo.1417141 fatcat:lvpsdgkrdvbb7isv43s7avqkym

Alleviating Item-Side Cold-Start Problems in Recommender Systems Using Weak Supervision

Sang-Min Choi, Kiyoung Jang, Tae-Dong Lee, Abdallah Khreishah, Wonjong Noh
2020 IEEE Access  
Then, we developed a method to predict the expected preferences for new items by combining content-based filtering and the preferences of representative users.  ...  Through extensive experiments, we first confirmed that in comparison to existing methods, the proposed approach provided enhanced accuracy, which was evaluated by determining a mean absolute error for  ...  [22] attempted to cluster new items using the attribute data. This cluster method based on the attribute data mitigated the item-side cold-start problem. Anand et al.  ... 
doi:10.1109/access.2020.3019464 fatcat:rrkwtltzurbjhjqwfjsqstudqi

Maths, Computation and Flamenco: overview and challenges [article]

José-Miguel Díaz-Báñez, Nadine Kroher
2022 arXiv   pre-print
Most existing approaches in Musical Information Retrieval (MIR) were developed in the context of popular or classical music and do often not generalize well to non-Western music traditions, in particular  ...  Due to its improvisational and expressive nature, its unique musical characteristics, and the fact that the genre is largely undocumented, flamenco poses a number of interesting mathematical and computational  ...  Such systems allow users to locate specific items based on their melodic content and furthermore provide the means to explore the evolution of melodic content from an ethno-musicological perspective.  ... 
arXiv:2209.10970v1 fatcat:um67bipyknhkpg4y6h3uise2kq

A Survey on Visual Content-Based Video Indexing and Retrieval

Weiming Hu, Nianhua Xie, Li Li, Xianglin Zeng, S. Maybank
2011 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot  ...  boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video  ...  [107] propose a rule-based video classification system that applies video content analysis, feature extraction and clustering techniques to the semantic clustering of videos.  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

A Two-Iteration Clustering Method to Reveal Unique and Hidden Characteristics of Items Based on Text Reviews

Alon Dayan, Osnat Mokryn, Tsvi Kuflik
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
This paper presents a new method for extracting unique features of items based on their textual reviews.  ...  In the first iteration, restaurants of similar food genres are grouped together into clusters.  ...  Accordingly, we name these clusters Genre-Clusters. In order to verify that the members of these clusters are indeed of the same food genre we use the concept of Meta-Genres.  ... 
doi:10.1145/2740908.2741707 dblp:conf/www/DayanMK15 fatcat:73mfcoq6abavjnhpwmayqbyvmy

A Combined Approach for Customer Profiling in Video on Demand Services using Clustering and Association Rule Mining

Sinem Guney, Serhat Peker, Cigdem Turhan
2020 IEEE Access  
Further, genres preferred by these customer segments are extracted using the Apriori algorithm.  ...  The proposed approach integrates clustering and association rule mining.  ...  content genres.  ... 
doi:10.1109/access.2020.2992064 fatcat:qjkjherwhbg3hj62jkikngatni

Semantic Search in Tabular Structures

Aleksander Pivk, Matjaz Gams, Mitja Lustrek
2006 Informatica (Ljubljana, Tiskana izd.)  
Using the TARTAR system, tabular structures in the documents are then automatically transformed into ontologies and annotated to build a knowledge base.  ...  The focus of this paper is to extend a typical search engine with semantic search over tabular structures. We categorize HTML documents into topics and genres.  ...  Thanks to all our colleagues for participating in the evaluation of the system as well as to the reviewers for useful comments on the paper.  ... 
dblp:journals/informaticaSI/PivkGL06 fatcat:m7i6ihk73naufhickzi7edwzvm

Enhanced Movie Content Similarity Based on Textual, Auditory and Visual Information [article]

Konstantinos Bougiatiotis, Theodore Giannakopoulos
2017 arXiv   pre-print
In this paper we examine the ability of low-level multimodal features to extract movie similarity, in the context of a content-based movie recommendation approach.  ...  metadata-based approaches.  ...  However, our goal in this task is to also include unsupervised similarity extraction methods, that discover content similarities based on clustering of the audio feature distributions.  ... 
arXiv:1711.03889v1 fatcat:smgf6bbvuvaejauk64tgemj3iq

Guest Editorial: Automated Big Data Analysis for Social Multimedia Network Environments

Changhoon Lee
2016 Multimedia tools and applications  
The paper entitled BMulti-Scale Local Structure Patterns Histogram for Describing Visual Contents in Social Image Retrieval Systems,^by Baik et al. [1] proposes a local descriptor for personalized social  ...  This allows both fine-grained and coarse-grained features to be  ...  The proposed method consists of a novel word-weighting step to extract regional keywords and a word-clustering step to extract regional topics based on the associations between the extracted keywords.  ... 
doi:10.1007/s11042-016-3838-8 fatcat:ior46rwjhbhb3evvu6pygemgje

Predicting the ratings of multimedia items for making personalized recommendations

Rani Qumsiyeh, Yiu-Kai Ng
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
It simply considers the users' ratings, genres, role players (authors or artists), and reviews of different multimedia items, which are abundant and easy to find on the Web.  ...  We propose a comprehensive, personalized multimedia recommendation system, denoted MudRecS, which makes recommendations on movies, music, books, and paintings similar in content to other movies, music,  ...  The content-based (or cognitive) approaches [2] create a profile to capture the (items of) interest of a user U using words, phrases, and/or features.  ... 
doi:10.1145/2348283.2348349 dblp:conf/sigir/QumsiyehN12 fatcat:24gmi26ajrblzktm7dum726khi

A Music Classification Method Based On Timbral Features

Thibault Langlois, Gonçalo Marques
2009 Zenodo  
The other approach is based solely on the audio contents of music signals. This is a challenging task mainly due to the fact that there is no clear definition of similarity.  ...  The approaches found in the literature can roughly be divided in two categories: methods based on metadata and methods based on the analysis of the audio content of the songs.  ... 
doi:10.5281/zenodo.1417863 fatcat:n3tshbaacffsvhafj3agim46ze
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