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Genre-specific modeling of visual features for efficient content based video shot classification and retrieval

Chiranjoy Chattopadhyay, Amit Kumar Maurya
2013 International Journal of Multimedia Information Retrieval  
This paper presents a genre-specific modeling strategy capable of improving the task of content based video classification and the speed of data retrieval operations.  ...  The experimental results show that genre-specific modeling of features can significantly improve the performance.  ...  Acknowledgments We are thankful to the members of Visualization and Perception Lab for their support in data acquisition and comments. Additional thanks to Prof.  ... 
doi:10.1007/s13735-013-0034-8 fatcat:boklmi2tyzdvtfmwnhqzuikimq

Genre Specific Classification for Information Search and Multimodal Semantic Indexing for Data Retrieval

S. Gomathy, K.P. Deepa, T. Revathi, L. Maria Michael Visuwasam
2013 The SIJ Transactions on Computer Science Engineering & its Applications (CSEA)  
Large video collections such as YouTube contains many different genres that searches through Tree-Based Concept and retrieves video result through filename that are subjective and noisy and in many cases  ...  Our system describes architecture for a new video searching mechanism that not only accepts text based inputs but also accepts image based input from the user to retrieve the video results.  ...  In the first stage, the video genre models are trained using efficient global features and then the genre specific concepts models are trained using complex, local and object level features.  ... 
doi:10.9756/sijcsea/v1i1/01010159 fatcat:56gib7vgzzcvnins26rovciytm

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  ...  In this paper, we focus on the visual contents of videos and give a survey on visual content-based video indexing and retrieval.  ... 
doi:10.1109/tsmcc.2011.2109710 fatcat:qtenus4htffcfbyuiwidgjojku

Video genre categorization and representation using audio-visual information

Bogdan Ionescu
2012 Journal of Electronic Imaging (JEI)  
We propose an audio-visual approach to video genre classification using content descriptors that exploit audio, color, temporal, and contour information.  ...  Finally, we discuss a 3D video browsing platform that displays movies using feature-based coordinates and thus regroups them according to genre.  ...  We also acknowledge the 2011 Genre Tagging Task of the MediaEval Multimedia Benchmark [2] for providing the test data set.  ... 
doi:10.1117/1.jei.21.2.023017 fatcat:ftmpjzlx5rdndbcmwiqx7jktga

Automatic Web Video Categorization Using Audio-Visual Information And Hierarchical Clustering Rf

Bogdan Ionescu, P. Lambert, Ionut Mironica, Klaus Seyerlehner, C. Vertan
2012 Zenodo  
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania, 2012  ...  Considered visually, temporal structure and colors highlight specific genre contents; for instance, commercials and music clips have a high visual activity, music clips and movies use darker colors (as  ...  ., rhythm, average shot length, assessment of action), object-based information (e.g., occurrence of face and text regions, features such as Scale-Invariant Feature Transform -SIFT), and motion information  ... 
doi:10.5281/zenodo.52534 fatcat:r6djzbxt35huxoscqmr5qcjflu

Genre-specific semantic video indexing

Jun Wu, Marcel Worring
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
Genre specific models are trained based on a training set with data labelled at video level for genres and at shot level for semantic concepts.  ...  Thus, a question is how to detect genre specific semantic concepts such as Child in HomeVideo, or FrontalFace in Porn, in an efficient and accurate way.  ...  Each videos is first segmented into video shots, and representative key-frames are selected from each shot. Further, visual features are extracted based on the representative key-frames.  ... 
doi:10.1145/1816041.1816081 dblp:conf/civr/WuW10 fatcat:spczt5ox5bgeppe4dr7udy56t4

An audio-visual approach to web video categorization

Bogdan Emanuel Ionescu, Klaus Seyerlehner, Ionuţ Mironică, Constantin Vertan, Patrick Lambert
2012 Multimedia tools and applications  
Validation is carried out on a real scenario, namely on more than 288 hours of video footage and 26 video genres specific to blip.tv media platform.  ...  Validation is carried out on a real scenario, namely on more than 288 hours of video footage and 26 video genres specific to blip.tv media platform.  ...  Acknowledgments Also, we would like to acknowledge the 2011 Genre Tagging Task of the Me-diaEval Multimedia Benchmark [2] for providing the test data set.  ... 
doi:10.1007/s11042-012-1097-x fatcat:rcph46fpn5apjocuszicyvd3ru

Video Classification and Shot Detection for Video Retrieval Applications

M. Kalaiselvi Geetha, S. Palanivel
2009 International Journal of Computational Intelligence Systems  
Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information.  ...  This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot change detection algorithm to detect the shot changes in a video stream  ...  Ref. 15 address the problem of video genre classification for five classes with a set of visual features and SVM is used for classification.  ... 
doi:10.1080/18756891.2009.9727638 fatcat:ai54x5rnvrbitc6aijogda5byy

Video Classification and Shot Detection for Video Retrieval Applications

M. K. Geetha, S. Palanivel
2009 International Journal of Computational Intelligence Systems  
Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information.  ...  This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot change detection algorithm to detect the shot changes in a video stream  ...  Ref. 15 address the problem of video genre classification for five classes with a set of visual features and SVM is used for classification.  ... 
doi:10.2991/jnmp.2009.2.1.5 fatcat:evhqeyea2bcw5es5b5rfyu7u7u

Effectively leveraging Multi-modal Features for Movie Genre Classification [article]

Zhongping Zhang, Yiwen Gu, Bryan A. Plummer, Xin Miao, Jiayi Liu, Huayan Wang
2022 arXiv   pre-print
Prior work has typically addressed this task by predicting genres based solely on the visual content.  ...  To address these two issues, we propose a Multi-Modal approach leveraging shot information, MMShot, to classify video genres in an efficient and effective way.  ...  See Section 3 for specific details. approach with a shot-based mechanism that first divides a video into separate shot components and then averages the shot features for prediction.  ... 
arXiv:2203.13281v1 fatcat:x5gwoahkmvgjfcc5tf2xjpcxlm

Content-Based Video Description for Automatic Video Genre Categorization [chapter]

Bogdan Ionescu, Klaus Seyerlehner, Christoph Rasche, Constantin Vertan, Patrick Lambert
2012 Lecture Notes in Computer Science  
Additionally, movies displayed according to feature-based coordinates in a virtual 3D browsing environment tend to regroup with respect to genre, which has potential application with real content-based  ...  In this paper, we propose an audio-visual approach to video genre categorization. Audio information is extracted at block-level, which has the advantage of capturing local temporal information.  ...  Especially the choice of a suitable task specific feature set is critical for the success of such a classification approach and an ideal feature set should contain as many genre specific cues as possible  ... 
doi:10.1007/978-3-642-27355-1_8 fatcat:pq6xslvmi5ffpidqq2k7br6vci

Characterizing Multimedia Objects through Multimodal Content Analysis and Fuzzy Fingerprints [chapter]

Alberto Messina, Maurizio Montagnuolo, Maria Luisa Sapino
2009 Lecture Notes in Computer Science  
The fuzzy fingerprint model is well suited for similarity based information retrieval, and it captures "semantic" similarities coming from common pattern in the programme data, at different semantic levels  ...  In this paper we introduce a new approach to multimedia data semantic characterization and in particular television programmes fingerprinting, based on multimodal content analysis and fuzzy clustering.  ...  In [24] , the genre classifier is based on a C4.5 Decision Tree [15] and a 10-dimensional feature vector representing the visual content of the video.  ... 
doi:10.1007/978-3-642-01350-8_3 fatcat:c2ae3as7qvhjdfrhenirghxwjy

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio.  ...  The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community.  ...  Video classifications are based on the spatial and temporal characteristics and necessary for efficient access, understanding and retrieval of the videos. Pan et al.  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

An in-depth evaluation of multimodal video genre categorization

Ionut Mironica, Bogdan Ionescu, Peter Knees, Patrick Lambert
2013 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)  
footage) and 26 video genre categories specific to web media.  ...  Evaluation is carried out in the context of the 2012 Video Genre Tagging Task of the MediaEval Benchmarking Initiative for Multimedia Evaluation, using a data set of up to 15.000 videos (3,200 hours of  ...  Finally, we acknowledge the 2012 Genre Tagging Task of the MediaEval Multimedia Benchmark for the data set (http://www.multimediaeval.org/).  ... 
doi:10.1109/cbmi.2013.6576545 dblp:conf/cbmi/MironicaIKL13 fatcat:q2xee55uzvhlxpzvlwjvwe3obu

Event detection in field sports video using audio-visual features and a support vector Machine

D.A. Sadlier, N.E. O'Connor
2005 IEEE transactions on circuits and systems for video technology (Print)  
The system is tested generically across multiple genres of field sports including soccer, rugby, hockey, and Gaelic football and the results suggest that high event retrieval and content rejection statistics  ...  In this paper, we propose a novel audio-visual featurebased framework for event detection in broadcast video of multiple different field sports.  ...  [7] present visual methods for soccer video structure analysis. Basketball video is also a well-researched specific genre. Nepal et al.  ... 
doi:10.1109/tcsvt.2005.854237 fatcat:si5rx662ujhq5d7zz5zoyqctgi
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