BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260507T021325Z UID:288BFCD5-389E-4581-AD19-6665E83B6727 DTSTART;TZID=America/Los_Angeles:20260507T130000 DTEND;TZID=America/Los_Angeles:20260507T140000 DESCRIPTION:Join us for an exciting student research presentation!\nCome su pport and learn from students as they share their work\, there will be mul tiple presentations happening throughout the day.\nSnacks and lunch will b e provided\, so bring your curiosity (and your appetite)!\nWe’d love to see you there!\n\nAgenda:\n\n1:00 pm - 1:25 pm | Line Diagram Analysis for Visually Impaired Student: Ajitesh\n1:25 pm - 1:40 pm | Line Diagram Anal ysis for Visually Impaired Student Q&A: Ajitesh\n1:40 pm - 2:00 pm | Snack s & Refreshments: Round Table & Open Discussions\n\nAbstract:\n\nLine diag rams and mathematical function plots are commonly used in scientific and e ducational textbooks and articles to convey quantitative relationships. Ho wever\, their visual nature presents significant challenges and barriers f or visually impaired learners. Despite the ongoing efforts to improve acce ssibility in higher education\, the non-text content still remains difficu lt to interpret non-visually. The existing diagram analysis approaches oft en focus on chart type classification\, require manual user intervention f or tasks such as label mapping\, or fail to provide accessible end-to-end interaction for non visual analysis. Also\, many of these systems do not e xplicitly consider the requirements of visually impaired users\, resulting in workflows and interfaces that are not accessible. We propose an access ibility aware framework for automated analysis of line diagrams from raste r images. The proposed end-to-end system performs CNN based curve segmenta tion\, diagram type classification\, label and tick extraction using optic al character recognition\, mapping of curve pixels to the diagram domain\, and supports interactive querying along with a user interface compliant w ith the Web Content Accessibility Guidelines. Evaluation is conducted usin g a large synthetic dataset of 2D chart images representing a variety of m athematical functions and discrete point line charts\, which is used for b oth model training and system-level assessment.\n\nSpeaker(s): Ajitesh Par ihar\, Dolcy Sareen\n\nRoom: 130\, Bldg: C\, 1000 K. L. O. Rd\, Kelowna\, British Columbia\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.ieee. org/m/558692 LOCATION:Room: 130\, Bldg: C\, 1000 K. L. O. Rd\, Kelowna\, British Columbi a\, Canada\, V1Y 4X8\, Virtual: https://events.vtools.ieee.org/m/558692 ORGANIZER:kristina.cormier@myokanagan.bc.ca SEQUENCE:6 SUMMARY:Line Diagram Analysis for Visually Impaired Student - Student Prese ntation URL;VALUE=URI:https://events.vtools.ieee.org/m/558692 X-ALT-DESC:Description: <br /><p>Join us for an exciting student research p resentation!<br>Come support and learn from students as they share their w ork\, there will be multiple presentations happening throughout the day.<b r>Snacks and lunch will be provided\, so bring your curiosity (and your ap petite)!<br>We&rsquo\;d love to see you there!</p>\n<p>Agenda:</p>\n<p>1:0 0 pm - 1:25 pm | Line Diagram Analysis for Visually Impaired Student: Ajit esh<br>1:25 pm - 1:40 pm | Line Diagram Analysis for Visually Impaired Stu dent Q&amp\;A: Ajitesh<br>1:40 pm - 2:00 pm | Snacks &amp\; Refreshments: Round Table &amp\; Open Discussions</p>\n<p>Abstract:</p>\n<p>Line diagram s and mathematical function plots are commonly used in scientific and educ ational textbooks and articles to convey quantitative relationships. Howev er\, their visual nature presents significant challenges and barriers for visually impaired learners. Despite the ongoing efforts to improve accessi bility in higher education\, the non-text content still remains difficult to interpret non-visually. The existing diagram analysis approaches often focus on chart type classification\, require manual user intervention for tasks such as label mapping\, or fail to provide accessible end-to-end int eraction for non visual analysis. Also\, many of these systems do not expl icitly consider the requirements of visually impaired users\, resulting in workflows and interfaces that are not accessible. We propose an accessibi lity aware framework for automated analysis of line diagrams from raster i mages. The proposed end-to-end system performs CNN based curve segmentatio n\, diagram type classification\, label and tick extraction using optical character recognition\, mapping of curve pixels to the diagram domain\, an d supports interactive querying along with a user interface compliant with the Web Content Accessibility Guidelines. Evaluation is conducted using a large synthetic dataset of 2D chart images representing a variety of math ematical functions and discrete point line charts\, which is used for both model training and system-level assessment.</p>\n<p>&nbsp\;</p>\n<p>&nbsp \;</p> END:VEVENT END:VCALENDAR