Video Search Research Articles

Mythgarden: Collaborative Authorship and Counter-Storytelling in Queer Independent Film

Research Article| December 01 2018 Mythgarden: Collaborative Authorship and Counter-Storytelling in Queer Independent Film David R. Coon David R. Coon DAVID COON is an associate professor of media studies at the University of Washington Tacoma. He is the author of Turning the Page: Storytelling as Activism in Queer Film and Media and Look Closer: Suburban Narratives and American Values in Film and Television. Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (3-4): 44–62. https://doi.org/10.5406/jfilmvideo.70.3-4.0044 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation David R. Coon; Mythgarden: Collaborative Authorship and Counter-Storytelling in Queer Independent Film. Journal of Film and Video 1 January 2018; 70 (3-4): 44–62. doi: https://doi.org/10.5406/jfilmvideo.70.3-4.0044 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

Multiple feature set with feature selection for anomaly search in videos using hybrid classification

An examination of abnormal activities in video scenes is a very difficult task in computer vision community. An efficient anomaly detection technique to detect anomalies in crowded scenes is presented in this paper. It uses Multiple Feature Set (MFS) to represent a piece of rectangular region of predefined size in a video frame called as patch with Hybrid Classification (HC) using Gaussian Mixture Model (GMM) and Support Vector Machine (SVM) classifiers for anomaly detection. The MFS contains a combination of the following types of features; gray intensity values, gradient edge features and texture energy map. The predominant features are selected from MFS by using a model of t-test feature selection method and are classified by HC model made up of GMM and SVM classifiers. The UCSD video clip database is used for performance analysis of MFS-HC system and compared with other approaches. Results show that MFS-HC provides better results than other approaches.

A new video text extraction using local laplacian filters and mean shift

Video text constitutes the semantic context of the video. For that reason, robust extraction of text is essential for successful video understanding, search and retrieval. Extracting text from background is an important phrase before the text can be recognized correctly. It is a challenging task because of the difficulties in text segmentation from the varied and complicated backgrounds. Therefore, this paper proposes a novel text extraction method to tackle this issue. First, we perform background complexity determination to distinguish the text lines with clear and simple background from those with complex background, which will increase the extraction speed. Then, for the text lines with complicated background and low contrast, we utilize the Local Laplacian Filters Commun ACM 58(3):81–91 [18] to enhance the details of text regions and get the Integrated Enhanced Map (IEM). Finally, we perform the Mean Shift IEEE Trans Pattern Anal Mach Intell 24(5):603–619 [4] for the segmentation on IEM and retrieve the text extraction results. Experimental evaluations based on a variety of videos dataset we collected demonstrate that our method significantly outperforms the other three video text extraction algorithms in terms of recall, precision and F-score, especially when there are challenges such as video text with different font sizes, font styles, languages, and background complexities.

Method for Suspicious Object Search in Video from an Aircraft Camera Based on Histogram Analysis

A problem of particular object search on video which arises in some practical tasks can be solved by known methods if a sample image database is available. In case of its absence it is possible to find suspicious objects by heuristic approaches. But such approaches are not fast enough, thus they cannot be used in real-time systems. We propose a histogram-based method for target (suspicious) object search in video from an aircraft camera which is appropriate for usage in real-time systems.

FROM TINSELTOWN TO BORDERTOWN: LOS ANGELES ON FILM

Book Review| July 01 2018 FROM TINSELTOWN TO BORDERTOWN: LOS ANGELES ON FILM FROM TINSELTOWN TO BORDERTOWN: LOS ANGELES ON FILM, Celestino Deleyto. Detroit: Wayne State University Press, 2016, 296 pp. Carey Martin Carey Martin Liberty University Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (2): 58–59. https://doi.org/10.5406/jfilmvideo.70.2.0058 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Carey Martin; FROM TINSELTOWN TO BORDERTOWN: LOS ANGELES ON FILM. Journal of Film and Video 1 January 2018; 70 (2): 58–59. doi: https://doi.org/10.5406/jfilmvideo.70.2.0058 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

Nonlinear Structural Hashing for Scalable Video Search

In this paper, we propose a nonlinear structural hashing approach to learn compact binary codes for scalable video search. Unlike most existing video hashing methods which consider image frames within a video separately for binary code learning, we develop a multi-layer neural network to learn compact and discriminative binary codes by exploiting both the structural information between different frames within a video and the nonlinear relationship between video samples. To be specific, we learn these binary codes under two different constraints at the output of our network: 1) the distance between the learned binary codes for frames within the same scene is minimized and 2) the distance between the learned binary matrices for a video pair with the same label is less than a threshold and that for a video pair with different labels is larger than a threshold. To better measure the structural information of the scenes from videos, we employ a subspace clustering method to cluster frames into different scenes. Moreover, we design multiple hierarchical nonlinear transformations to preserve the nonlinear relationship between videos. Experimental results on three video data sets show that our method outperforms state-of-the-art hashing approaches on the scalable video search task.

From Past to Present, Melodramatically: The Politics and Ethics of Democracy in Early Transición Spanish Cinema

Research Article| July 01 2018 From Past to Present, Melodramatically: The Politics and Ethics of Democracy in Early Transición Spanish Cinema Stanton McManus Stanton McManus Stanton McManus received his PhD in comparative literature from the University of Michigan. He is currently pursuing his JD at the University of Minnesota. Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (2): 21–29. https://doi.org/10.5406/jfilmvideo.70.2.0021 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Stanton McManus; From Past to Present, Melodramatically: The Politics and Ethics of Democracy in Early Transición Spanish Cinema. Journal of Film and Video 1 January 2018; 70 (2): 21–29. doi: https://doi.org/10.5406/jfilmvideo.70.2.0021 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

Graph-Based Video Search Reranking with Local and Global Consistency Analysis

Graph-Based Video Search Reranking with Local and Global Consistency Analysis

THE FIRST KING OF HOLLYWOOD: THE LIFE OF DOUGLAS FAIRBANKS

Book Review| April 01 2018 THE FIRST KING OF HOLLYWOOD: THE LIFE OF DOUGLAS FAIRBANKS THE FIRST KING OF HOLLYWOOD: THE LIFE OF DOUGLAS FAIRBANKS. Tracey Goessel. Chicago: Chicago Review Press, 2015, 560 pp. Lucas Cuny Lucas Cuny Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (1): 61–62. https://doi.org/10.5406/jfilmvideo.70.1.0061 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Lucas Cuny; THE FIRST KING OF HOLLYWOOD: THE LIFE OF DOUGLAS FAIRBANKS. Journal of Film and Video 1 January 2018; 70 (1): 61–62. doi: https://doi.org/10.5406/jfilmvideo.70.1.0061 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

Preserved for Posterity? Present Bias and the Status of Grindhouse Films in the “Home Cinema” Era

Research Article| April 01 2018 Preserved for Posterity? Present Bias and the Status of Grindhouse Films in the “Home Cinema” Era Steve Jones Steve Jones Steve Jones is a senior lecturer at Northumbria University. He is the author of Torture Porn: Popular Horror in the Era of Saw. His essays have appeared in such publications as Film-Philosophy, Porn Studies, Sexuality & Culture, and Feminist Media Studies. Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (1): 3–16. https://doi.org/10.5406/jfilmvideo.70.1.0003 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Steve Jones; Preserved for Posterity? Present Bias and the Status of Grindhouse Films in the “Home Cinema” Era. Journal of Film and Video 1 January 2018; 70 (1): 3–16. doi: https://doi.org/10.5406/jfilmvideo.70.1.0003 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

How (Not) to Teach Disney

Research Article| April 01 2018 How (Not) to Teach Disney Jason Sperb Jason Sperb Jason Sperb teaches in the College of Communication at DePaul University in Chicago, Illinois. He is the author of Flickers of Film/ Nostalgia in the Time of Digital Cinema (Rutgers University Press, 2015); Blossoms and Blood: Postmodern Media Culture and the Films of Paul Thomas Anderson (University of Texas Press, 2013); and Disney’s Most Notorious Film: Race, Convergence, and the Hidden Histories of Disney’s Song of the South (University of Texas Press, 2012). He is currently finishing a manuscript on representations of leisure culture, race, and war nostalgia in depictions of Hawaii in mainland US media from the 1930s to the 1970s. The book should appear in print in 2019. Search for other works by this author on: This Site Google Journal of Film and Video (2018) 70 (1): 47–60. https://doi.org/10.5406/jfilmvideo.70.1.0047 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Jason Sperb; How (Not) to Teach Disney. Journal of Film and Video 1 January 2018; 70 (1): 47–60. doi: https://doi.org/10.5406/jfilmvideo.70.1.0047 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2018 by the Board of Trustees of the University of Illinois2018 Article PDF first page preview Close Modal You do not currently have access to this content.

An Accurate Efficient and Scalable Event Based Video Search Method Using Spectral Clustering

Web mining discovers enormous set of data and gets hidden and valuable information which contains text, images, audio and video files from the web search engine which is software that provides a significant result of information. Video rehabilitation for the context gives efficient comprehension of the video content. Video retrieval refers to the task of retrieving most relevant videos from the video Search engine but the outcome listed result could not achieve the relevant videos according to the user needs. This paper addresses Event based Video Retrieval (EBVR) uses metadata, which gives the accurate result. The aim is detect the circumstances of a focal point such as birthday party. In order to overcome this issue, we proposed a personalization approach which captures the user query relevance to their event. Video preprocessing method used to extract related precision data and spectral clustering technique for Video Categorization which yields event extraction and contributes associated video.

Using deep features for video scene detection and annotation

The semantic video indexing problem is still underexplored. Solutions to the problem will significantly enrich the experience of video search, monitoring, and surveillance. This paper concerns scene detection and annotation, and specifically, the task of video structure mining for video indexing using deep features. The paper proposes and implements a pipeline that consists of feature extraction and filtering, shot clustering, and labeling stages. A deep convolutional network is used as the source of the features. The pipeline is evaluated using metrics for both scene detection and annotation. The results obtained show high scene detection and annotation quality estimated with various metrics. Additionally, we performed an overview and analysis of contemporary segmentation and annotation metrics. The outcome of this work can be applied to semantic video annotation in real time.

Semantic-Based Video Retrieval Survey

There is a tremendous growth of digital data due to the stunning progress of digital devices which facilitates capturing them. Digital data include image, text, and video. Video represents a rich source of information. Thus, there is an urgent need to retrieve, organize, and automate videos. Video retrieval is a vital process in multimedia applications such as video search engines, digital museums, and video-on-demand broadcasting. In this paper, the different approaches of video retrieval are outlined and briefly categorized. Moreover, the different methods that bridge the semantic gap in video retrieval are discussed in more details.

Users' perceptions of topical learning for aiding exploratory video search

ABSTRACTThe present study examines users' perceived need for topical learning within exploratory video searches. A survey that incorporated sample search scenarios was employed. Findings demonstrated various relationships between the perceived need for topical learning and other variables such as topic familiarity, search system, and user confidence for completing searches.

Pedestrian search in surveillance videos by learning discriminative deep features

Abstract Searching for a target person in videos captured by many non-overlapped cameras is an important yet challenging problem in the fields of intelligent video surveillance. Person re-identification is a key technique in the person searching task. In this paper, we propose a discriminative objective function to learn deep CNN features for person re-id. Specially, the proposed objective function reduces distances between instances belonging to the same person, and enlarges distances between instances belonging to different persons at the same time. With the goal of inter-class dispersion and intra-class compactness, the obtained deep features can be more discriminative than many traditional training objectives, e.g. softmax, contrastive and triplet objective functions. Extensive experiments on person re-id benchmarks validated the superiority of the proposed objective function. Based on the proposed person re-identification algorithm, we implement a pedestrian search system by integrating three components: pedestrian detection, multi-person tracking and person re-identification together. The whole system is evaluated on a Cross-Camera Pedestrian Search Challenge and achieves superior performances on the evaluation set.

YouTube Videos on Botulinum Toxin A for Wrinkles: A Useful Resource for Patient Education.

Patients interested in botulinum toxin type A (BTX-A) for wrinkles search for videos on YouTube, but little is known about the quality and reliability of the content. The authors examined the quality, reliability, content, and target audience of YouTube videos on BTX for wrinkles. In this cross-sectional study, the term "Botox" was searched on YouTube. Sixty relevant videos in English were independently categorized by 2 reviewers as useful informational, misleading informational, useful patient view, or misleading patient view. Disagreements were settled by a third reviewer. Videos were rated on the Global Quality Scale (GQS) (1 = poor, 5 = excellent). Sixty-three percent of the BTX YouTube videos were useful informational (GQS = 4.4 ± 0.7), 33% as useful patient view (GQS = 3.21 ± 1.2), 2% as misleading informational (GQS = 1), and 2% as misleading patient view (GQS = 2.5). The large number of useful videos, high reliability, and the wide range of content covered suggests that those who search for antiwrinkle BTX videos on YouTube are likely to view high-quality content. This suggests that YouTube may be a good source of videos to recommend for patients interested in BTX.

DECONSTRUCTING BRAD PITT

Book Review| December 01 2017 DECONSTRUCTING BRAD PITT DECONSTRUCTING BRAD PITT. Ed. Christopher Schaberg and Robert Bennett. New York: Bloomsbury Academic, 2014, 296 pp. Devapriya Sanyal Devapriya Sanyal Jawaharlal Nehru University Search for other works by this author on: This Site Google Journal of Film and Video (2017) 69 (4): 59–60. https://doi.org/10.5406/jfilmvideo.69.4.0059 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Devapriya Sanyal; DECONSTRUCTING BRAD PITT. Journal of Film and Video 1 January 2017; 69 (4): 59–60. doi: https://doi.org/10.5406/jfilmvideo.69.4.0059 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2017 by the Board of Trustees of the University of Illinois2017 Article PDF first page preview Close Modal You do not currently have access to this content.

Crossing America’s Borders: Chinese Immigrants in the Southwesterns of the 1920s and 1930s

Research Article| December 01 2017 Crossing America’s Borders: Chinese Immigrants in the Southwesterns of the 1920s and 1930s Philippa Gates Philippa Gates Philippa Gates is a professor in film studies at Wilfrid Laurier University in Canada and is the author of Transnational Asian Identities in Pan-Pacific Cinemas (Routledge, 2012) and Detecting Women: Gender and the Hollywood Detective Film (State U of New York P, 2011). Search for other works by this author on: This Site Google Journal of Film and Video (2017) 69 (4): 3–17. https://doi.org/10.5406/jfilmvideo.69.4.0003 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Philippa Gates; Crossing America’s Borders: Chinese Immigrants in the Southwesterns of the 1920s and 1930s. Journal of Film and Video 1 January 2017; 69 (4): 3–17. doi: https://doi.org/10.5406/jfilmvideo.69.4.0003 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2017 by the Board of Trustees of the University of Illinois2017 Article PDF first page preview Close Modal You do not currently have access to this content.

“Mixophobia” and the Gated Community as “Home Sweet Home” in M. Night Shyamalan’s The Village

Research Article| December 01 2017 “Mixophobia” and the Gated Community as “Home Sweet Home” in M. Night Shyamalan’s The Village Aleksandra Bida Aleksandra Bida Aleksandra Bida earned her PhD in Communication and Culture from the joint program at Ryerson and York Universities in Toronto. Her research explores the cultural significance of ideas of home and the politics of welcome. Search for other works by this author on: This Site Google Journal of Film and Video (2017) 69 (4): 43–54. https://doi.org/10.5406/jfilmvideo.69.4.0043 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Aleksandra Bida; “Mixophobia” and the Gated Community as “Home Sweet Home” in M. Night Shyamalan’s The Village. Journal of Film and Video 1 January 2017; 69 (4): 43–54. doi: https://doi.org/10.5406/jfilmvideo.69.4.0043 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectiveUniversity of Illinois PressJournal of Film and Video Search Advanced Search The text of this article is only available as a PDF. Copyright 2017 by the Board of Trustees of the University of Illinois2017 Article PDF first page preview Close Modal You do not currently have access to this content.