The installation is a construct of architecture and sound, old and new, evoking a country that is evolving. The small videos featured inside the cages were conceived as a performative response to the historical weight of the exhibition site. The voices in the cages elude physical, political and cultural borders in contemporary society. The sonic environment is complemented by recordings of street criers, known as pregoneros, a reflection of the increased liberalization of small businesses that exists within a void of corporate control. The interviews in the birdcages document the reconstruction of a dialogue between Cuban residents and their family members who live abroad, and the transformative power of this exchange.
From Yoruba deities, to Leonardo da Vinci, to space travel today, men and women have always dreamed of flight as embodying a lightness of being. Birdcages were used by emperors and common men to capture beauty and to dream of freedom. The Cuba Republic Pavilion, La Perversion de lo Clasico: Anarquia de los Relatos.ĥ3+1=54+1=55.Letter of the Year is a multimedia installation about home, migration, the necessity of finding and redefining the meaning of permanency and locality. Museum of Archeology, Piazza San Marco, Venice We test our techniques on the TRECVID 2012 Semantic indexing (SIN) task dataset, which is made of more than 800 h of heterogeneous videos collected from Internet archives.Photo taken by Toshiki Yashiro 55th Venice Biennale
Since the emphasis is on late fusion, the introduced algorithms for handling text and the fusion can be used in conjunction with standard algorithms for visual concept detection. In this chapter, we introduce fusion and text analysis techniques for harnessing automatic speech recognition (ASR) transcripts or subtitles to improve the results of visual concept detection. While video is typically a multi-modal signal composed of visual content, speech, audio, and possibly also subtitles, most research has so far focused on exploiting the visual modality. Due to its significance for the multimedia analysis community, concept detection is the topic of international benchmarking activities such as TRECVID. The establishment of such associations between the video content and the concept labels is a key step toward semantics-based indexing, retrieval, and summarization of videos, as well as deeper analysis (e.g., video event detection).
The goal of visual concept detection is to assign to each elementary temporal segment of a video, a confidence score for each target concept (e.g. Visual concept detection is one of the most active research areas in multimedia analysis.
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