The Portrait
Computer-based installation
Dimension variable
2023


The Portrait
演算影像裝置
依場地而定
2023





My Self-portrait,右頻道:The crowd's portrait of me,左頻道:My Self-portrait
(圖片提供:忠泰美術館 Jut Art Museum)


Two-channel video, The Portrait, is extended from Inter net, which uses noise-like images to express descriptions about the artists via “crowdsourced labeling” and the self-writing through “Google search entries.”

The “crowdsourced labeling” and “Google search entries” in Inter net - Labeling me use the technology of text embedding to convert these textual descriptions of the artists into eigenvectors before converting the eigenvectors again into color blocks that are arranged into matrix based on a chronological order. The textual descriptions that are more similar in terms of semantics will produce blocks of more similar colors. These seemingly random noise images in fact reveal the distribution of the artists’ descriptions of “I.” As time progresses, the descriptions of “I” also become fluid and different, and the color distribution changes accordingly.

Contrasting the two different types of descriptions of “I” in this work is also an attempt to project the self into these noises that are difficult to identity but highly meaningful.


雙頻道錄像《The Portrait》為《Inter net》系列的延伸作品,兩個頻道分別為《The crowd's portrait of me》與《My Self-portrait》。皆以看似雜訊的影像,分別表現「眾包標註」以及自我書寫的「搜尋紀錄」兩種不同的對我的描述。

我把《Inter net - Labeling me》作品中的「眾包標註」以及「搜尋紀錄」,使用文本嵌入(text embedding)技術,將這些描述我的文本轉換成特徵向量,再將這些特徵向量轉換成一個個色塊,依照時間順序矩陣排列。

語意越接近的文本被轉換成的色塊,顏色會越接近。這些看似隨機的雜訊影像,實際上是對於我的描述的「分佈」(distribution),也就是說隨著時間的推移,對於我的描述隨之流動、變換,影像所呈現出來的色彩分佈也會隨之變化。

我試圖用這種視覺化的方式來對比兩種對我不同的描述的異同。也想把我自己投射在這不易辨識卻富含意義的雜訊之中。






(圖片提供:忠泰美術館 Jut Art Museum)



My Self-portrait 影像截圖