Indexing Multimedia Content for Textual Querying: A Multimodal Approach

2020 ◽  
Vol 29 (4) ◽  
pp. 2109-2130
Author(s):  
Lauren Bislick

Purpose This study continued Phase I investigation of a modified Phonomotor Treatment (PMT) Program on motor planning in two individuals with apraxia of speech (AOS) and aphasia and, with support from prior work, refined Phase I methodology for treatment intensity and duration, a measure of communicative participation, and the use of effect size benchmarks specific to AOS. Method A single-case experimental design with multiple baselines across behaviors and participants was used to examine acquisition, generalization, and maintenance of treatment effects 8–10 weeks posttreatment. Treatment was distributed 3 days a week, and duration of treatment was specific to each participant (criterion based). Experimental stimuli consisted of target sounds or clusters embedded nonwords and real words, specific to each participants' deficit. Results Findings show improved repetition accuracy for targets in trained nonwords, generalization to targets in untrained nonwords and real words, and maintenance of treatment effects at 10 weeks posttreatment for one participant and more variable outcomes for the other participant. Conclusions Results indicate that a modified version of PMT can promote generalization and maintenance of treatment gains for trained speech targets via a multimodal approach emphasizing repeated exposure and practice. While these results are promising, the frequent co-occurrence of AOS and aphasia warrants a treatment that addresses both motor planning and linguistic deficits. Thus, the application of traditional PMT with participant-specific modifications for AOS embedded into the treatment program may be a more effective approach. Future work will continue to examine and maximize improvements in motor planning, while also treating anomia in aphasia.


Skull Base ◽  
2007 ◽  
Vol 16 (S 1) ◽  
Author(s):  
Anthony Zeitouni ◽  
Richard Leblanc ◽  
Peter Abou Jaoude ◽  
Labib Soualmi

Author(s):  
B. Aparna ◽  
S. Madhavi ◽  
G. Mounika ◽  
P. Avinash ◽  
S. Chakravarthi

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.


2012 ◽  
Vol 6 (1) ◽  
pp. 47-63
Author(s):  
Stephen Pihlaja

Using membership categorization analysis, this article investigates membership categories in a YouTube video made by an Evangelical Christian in which he differentiates between “saved” and “religious” users. Analysis will take a discourse-centred, multimodal approach grounded in longitudinal observation, using analysis of video discourse to instruct analysis of video images and user comments. Findings will show that categorization is accomplished by using recognized categories with ambiguous descriptions of category-bound activities that include metaphors, such as “being hungry for God” and not “hanging out with atheists.” These categories are recognized by commenters on the video, but the category bound activities applied to the category members are disputed. Findings will also show that scriptural reference plays an important role in categorization in the video, drawing on direct Bible quotes as well as paraphrases of key passages.


2021 ◽  
Vol 30 ◽  
pp. 102589
Author(s):  
Maria E. Barnes-Davis ◽  
Stephanie L. Merhar ◽  
Scott K. Holland ◽  
Nehal A. Parikh ◽  
Darren S. Kadis

Author(s):  
Hoang Van Nguyen

AbstractThe discourses of risk serve to organise the ways in which we understand and respond to potential harms and threats, which have become a major concern in our daily life. However, the discourses of risk have not been extensively investigated using linguistic text-based methods on the multimodal level, nor deeply examined beyond Western contexts. Grounded in the literature of risk and multimodal discourse, the aim of the study is to demonstrate Multimodal Discourse Analysis from a Systemic Functional Linguistics perspective as a potential methodology to investigate how risk discourses are constructed in and through semiotic resources in a non-Western setting. Through a case study of child helmet awareness advertisements in Vietnam, the multimodal analysis reveals a comprehensive picture of risk discourses constructed across various semiotic modes. In this analysis, the discourses of risk are constructed through a negotiation of expert knowledge and traditional values to encourage the audience to take actions and provide helmets for their children. Findings of the study demonstrate the use of Systemic Functional multimodal approach to media and communication to provide evidence for risk discourses in the Vietnamese setting, which are at odds with the current literature and can potentially be extended to other contexts.


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