HCSep 23, 2021

Tumera: Tutor of Photography Beginners

arXiv:2109.11365v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for accessible guidance for photography learners, though it appears incremental as it builds on existing interactive feedback systems.

The paper tackles the problem of providing professional feedback for photography beginners by developing Tumera, an interactive system that offers real-time aesthetic guidance and post-shooting improvement suggestions, achieving good accuracy and real-time performance in experiments.

With the popularity of photographic equipment, more and more people are starting to learn photography by themselves. Although they have easy access to photographic materials, it is uneasy to obtain professional feedback or guidance that can help them improve their photography skills. Therefore, we develop an intelligently interactive system, Tumera, that provides aesthetics guidance for photography beginners. When shooting, Tumera gives timely feedback on the pictures in the view port. After shooting, scores evaluating the aesthetic quality of different aspects of the photos and corresponding improvement suggestions are given. Tumera allows users to share, rank, discuss, and learn from their works and interaction with the system based on the scores and suggestions. In the experiment, Tumera showed good accuracy, real-time computing ability, and effective guiding performance.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes