When a computer processes a visual image, it’s like a museumgoer standing too close to a pointillist painting: all it sees are rows of colored dots. But the next step forward for video processing could, in effect, be a step back; new digital technologies are beginning to discriminate objects.
Object discrimination presents the possibility of “saving a lot of bandwidth,” says Eran Yarom, CEO of Tel Aviv, Israel-based startup EnQuad Technologies. EnQuad has developed an algorithm that analyzes digital video streams and “extracts the object from the background in real time,” says Yarom. “Then we’re able to send the background and the moving object separately.” Video from the Winter Olympics, for instance, might feature a skater, an ice rink and an audience. The position of the skater needs to change with every frame of video; but transmit the rink and the spectators at a lower resolution, with less frequent updates, and you can cut your bandwidth requirements by three-quarters. EnQuad’s first product will be a digital signal processor that performs such selective transmission; Yarom expects it to reach the market by mid-2002.
Another Israeli startup is taking a hardware approach. A video camera from 3DV Systems of Yokneam, Israel, uses an infrared laser to gauge depth; existing graphics software can use that depth information to extract objects from the video stream. The startup’s vice president, Arend Verweij, says that the camera could be used, for example, for high-resolution videoconferencing.
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