Personalized video summarization based on group scoring

In this paper an expert-based model for generation of personalized video summaries is suggested. The video frames are initially scored and annotated by multiple video experts. Thereafter, the scores for the video segments that have been assigned the higher priorities by end users will be upgraded. Considering the required summary length, the highest scored video frames will be inserted into a personalized final summary. For evaluation purposes, the video summaries generated by our system have been compared against the results from a number of automatic and semi-automatic summarization tools that use different modalities for abstraction

Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media

We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines, appropriate for mental health monitoring. The summaries combine two different narrative points of view: clinical insights in third person useful for a clinician are generated by feeding into an LLM specialised clinical prompts, and importantly, a temporally sensitive abstractive summary of the user's timeline in first person, generated by a novel hierarchical variational autoencoder, TH-VAE. We assess the generated summaries via automatic evaluation against expert summaries and via human evaluation with clinical experts, showing that timeline summarisation by TH-VAE results in more factual and logically coherent summaries rich in clinical utility and superior to LLM-only approaches in capturing changes over time

An investigation of air transportation technology at the Massachusetts Institute of Technology, 1990-1991

Brief summaries are given of research activities at the Massachusetts Institute of Technology (MIT) under the sponsorship of the FAA/NASA Joint University Program. Topics covered include hazard assessment and cockpit presentation issues for microburst alerting systems; the situational awareness effect of automated air traffic control (ATC) datalink clearance amendments; a graphical simulation system for adaptive, automated approach spacing; an expert system for temporal planning with application to runway configuration management; deterministic multi-zone ice accretion modeling; alert generation and cockpit presentation for an integrated microburst alerting system; and passive infrared ice detection for helicopter applications

Video summarization by group scoring

In this paper a new model for user-centered video summarization is presented. Involvement of more than one expert in generating the final video summary should be regarded as the main use case for this algorithm. This approach consists of three major steps. First, the video frames are scored by a group of operators. Next, these assigned scores are averaged to produce a singular value for each frame and lastly, the highest scored video frames alongside the corresponding audio and textual contents are extracted to be inserted into the summary. The effectiveness of this approach has been evaluated by comparing the video summaries generated by this system against the results from a number of automatic summarization tools that use different modalities for abstraction

Automatic Indonesian Text Summarization Using Vector Space Model

Summary provides information from a text briefly to reduce the amount of effort in understanding the text. However, with the number of the existing text data, creation of a summary manually can take a long time. This process can be easily done with automatic text summarization based on Indonesian language. Automatic text summarization can be done by determining the value of similarity between sentences. This similarity value can be determined based on the vector angle sentence on the vector space model. Some sentences with the highest similarity value chosen as a representation of the text summaries. Based on testing that used data from 25 text consisted of argument, description, exposition, narration, and persuasion text that resulted in an average value of precision, recall and F-Score each 0.55, 0.49, 0.51 from expert interviewees and 0.55, 0.48, and 0.50 from common user interviewees. The summary had the same informativeness level with the expert interviewee’s summaries. Precision with the highest result obtained from argument text with an average precision of 0.52 from expert interviewees and 0.46 from common user interviewees

North Pacific Marine Science Organization (PICES): Annual Report, Seventeenth Meeting, Dalian, China, October 24 - November 2, 2008

Report of Opening Session. Report of Governing Council. Report of the Finance and Administration Committee. Reports of Science Board and Committees. Report of the Climate Change and Carrying Capacity Scientific Program. Reports of Expert Groups. Session Summaries. Participants. PICES Members. PICES Acronyms

Amicus Brief: Kumho Tire v. Carmichael

This brief addresses the issue of jury performance and jury responses to expert testimony. It reviews and summaries a substantial body of research evidence about jury behavior that has been produced over the past quarter century. The great weight of that evidence challenges the view that jurors abdicate their responsibilities as fact finders when faced with expert evidence or that they are pro-plaintiff, anti-defendant, and anti-business. The Petitioners and amici on behalf of petitioners make a number of overlapping, but empirically unsupported, assertions about jury behavior in response to expert testimony, namely that juries are frequently incapable of critically evaluation expert testimony, are easily confused, give inordinate weight to expert testimony, are awed by science, defer to the opinions of unreliable experts, and, implicitly, that in civil trials juries tilt in favor of plaintiffs and against corporations